Downloads & Free Reading Options - Results

Learning Python by Mark Lutz

Read "Learning Python" by Mark Lutz through these free online access and download options.

Search for Downloads

Search by Title or Author

Books Results

Source: The Internet Archive

The internet Archive Search Results

Available books for downloads and borrow from The internet Archive

1Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

By

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines” Metadata:

  • Title: ➤  Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines
  • Author:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 217.58 Mbs, the file-s for this book were downloaded 106 times, the file-s went public at Sat May 04 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines at online marketplaces:


2Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models

By

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models” Metadata:

  • Title: ➤  Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models
  • Author:
  • Language: English

“Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 733.58 Mbs, the file-s for this book were downloaded 160 times, the file-s went public at Tue Oct 05 2021.

Available formats:
ACS Encrypted PDF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models at online marketplaces:


3WARC: Www.johnwittenauer.net-machine-learning-exercises-in-python-part-1 20160813

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“WARC: Www.johnwittenauer.net-machine-learning-exercises-in-python-part-1 20160813” Metadata:

  • Title: ➤  WARC: Www.johnwittenauer.net-machine-learning-exercises-in-python-part-1 20160813

Edition Identifiers:

Downloads Information:

The book is available for download in "web" format, the size of the file-s is: 339.43 Mbs, the file-s for this book were downloaded 5394 times, the file-s went public at Thu May 25 2017.

Available formats:
Archive BitTorrent - Item CDX Index - Item CDX Meta-Index - Metadata - WARC CDX Index - Web ARChive GZ -

Related Links:

Online Marketplaces

Find WARC: Www.johnwittenauer.net-machine-learning-exercises-in-python-part-1 20160813 at online marketplaces:


4Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 53.71 Mbs, the file-s for this book were downloaded 74 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - ZIP -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat) at online marketplaces:


5Thoughtful Machine Learning With Python : A Test-driven Approach

By

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

“Thoughtful Machine Learning With Python : A Test-driven Approach” Metadata:

  • Title: ➤  Thoughtful Machine Learning With Python : A Test-driven Approach
  • Author: ➤  
  • Language: English

“Thoughtful Machine Learning With Python : A Test-driven Approach” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 531.71 Mbs, the file-s for this book were downloaded 120 times, the file-s went public at Sat May 14 2022.

Available formats:
ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Thoughtful Machine Learning With Python : A Test-driven Approach at online marketplaces:


6Python Machine Learning Tutorial (Data Science)

By

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (30 - Eclat)

“Python Machine Learning Tutorial (Data Science)” Metadata:

  • Title: ➤  Python Machine Learning Tutorial (Data Science)
  • Author:

“Python Machine Learning Tutorial (Data Science)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 519.75 Mbs, the file-s for this book were downloaded 224 times, the file-s went public at Fri Apr 05 2024.

Available formats:
Archive BitTorrent - Item Tile - JSON - Metadata - Thumbnail - Unknown - WebM - h.264 -

Related Links:

Online Marketplaces

Find Python Machine Learning Tutorial (Data Science) at online marketplaces:


73 Essential Python Libraries For AI & Machine Learning

By

Want to master AI and Machine Learning with  Python ? 🚀 Start with these 3 powerful libraries that form the foundation of every successful ML project: 1️⃣ NumPy – High-performance numerical computing 2️⃣ Pandas – Data cleaning, manipulation & prep 3️⃣ Scikit-learn – The go-to library for building ML models (regression, classification & more) These libraries are critical for building accurate and scalable  data science  solutions. 📍 From TCCI – Tririd Computer Coaching Institute, Bopal Ahmedabad 🎓 Join our Python for AI & Machine Learning training courses: 🌐  https://tccicomputercoaching.com 📞 Contact: +91 98256 18292

“3 Essential Python Libraries For AI & Machine Learning” Metadata:

  • Title: ➤  3 Essential Python Libraries For AI & Machine Learning
  • Author:

“3 Essential Python Libraries For AI & Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1.54 Mbs, the file-s for this book were downloaded 8 times, the file-s went public at Mon Sep 01 2025.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find 3 Essential Python Libraries For AI & Machine Learning at online marketplaces:


8Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing In Python)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing in Python)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing In Python)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing In Python)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing In Python)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 173.45 Mbs, the file-s for this book were downloaded 285 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing In Python) at online marketplaces:


9Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 347 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Metadata -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification) at online marketplaces:


10An Introduction To Statistical Learning With Applications In Python

As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.

“An Introduction To Statistical Learning With Applications In Python” Metadata:

  • Title: ➤  An Introduction To Statistical Learning With Applications In Python
  • Language: English

“An Introduction To Statistical Learning With Applications In Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 326.80 Mbs, the file-s for this book were downloaded 28 times, the file-s went public at Thu Aug 01 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find An Introduction To Statistical Learning With Applications In Python at online marketplaces:


11Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 139.11 Mbs, the file-s for this book were downloaded 40 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction) at online marketplaces:


12Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 72.08 Mbs, the file-s for this book were downloaded 36 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (41 - Kernel PCA) at online marketplaces:


13Learning Python

Learn Python from start to end

“Learning Python” Metadata:

  • Title: Learning Python
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 541.00 Mbs, the file-s for this book were downloaded 75 times, the file-s went public at Sun Dec 17 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Python at online marketplaces:


14Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 260.09 Mbs, the file-s for this book were downloaded 104 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Item Tile - MPEG4 - Metadata - Thumbnail - Unknown -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression) at online marketplaces:


15Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 154.70 Mbs, the file-s for this book were downloaded 64 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes) at online marketplaces:


16Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python

By

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (20 - Naive Bayes)

“Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python” Metadata:

  • Title: ➤  Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python
  • Author:
  • Language: English

“Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 792.88 Mbs, the file-s for this book were downloaded 114 times, the file-s went public at Mon May 16 2022.

Available formats:
ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python at online marketplaces:


17ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]

By

Sixteen scholarly papers and twenty abstracts comprise the content of the eighteenth annual Brick & Click Libraries Conference, held annually at Northwest Missouri State University in Maryville, Missouri. The proceedings, authored by academic librarians and presented at the conference, portray the contemporary and future face of librarianship. The 2018 paper and abstract titles include: (1) Committee on Diversity & Inclusion: Cultivating an Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, and Frederick Young); (2) Checking Out the LGBT+ (Kayla Reed); (3) Tailoring Library Instruction to Adult Students: Applying the Science and Methods of Andragogy for Modern Instructional and Reference Services (Eric Deatherage and Jason Smith); (4) Library-Faculty Collaboration for OER Promotion and Implementation (Paula Martin); (5) The Facts of Fiction: Research for Creative Writers (Addison Lucchi); (6) Location and the Collection Connection (Kayla Reed and Amber Carr); (7) Gay for No Pay: How to Maintain an LGBTQ+ Collection with No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout a Discipline (Nathan Elwood and Robyn Hartman); (9) Not Just a Collection: The Emergence and Evolution of Our Contemporary Collection (Hong Li and Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty and Student Academic Needs with Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model for Understanding and Teaching Students about Bias (Virginia Cairns); (12) Demystifying DH: How to Get Started with Digital Humanities (Sherri Brown and Forstot Burke); (13) Academic Libraries Embracing Technology with a Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies for One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, and Teresa Mayginnes); (16) Giving a Booster Shot to Your One Shot: Incorporating Engaging Activities into Library Instruction (Kelly Leahy, Gwen Wilson, and Angela Beatie); (17) Adventures with Omeka.net: Metadata, Workflows, and Exhibit-based Storytelling at UNO Libraries (Yumi Ohira, Angela Kroeger, and Lori Schwartz); (18) Online Badge Classes for High School Students (Angela Paul); (19) Fake News: The Fun, the Fear, and the Future of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach the Library's Mission (April K. Miller); (21) Active Learning for Metaliteracies: Digital Modules from the New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, and Brenda Linares); (22) Calculating Return on Investment in Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, and Jessica Hayden); (24) From Silos to Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging the Gap: Providing Equal Access of Library Resources and Services to Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming to the Plains: Latino/a Stories in Nebraska (Laurinda Weisse, Michelle Warren, and Jacob Rosdail); (28) Five Keys to #SocialMediaSuccess in Academic Libraries (Hannah E. Christian and Alison Hanner); (29) Easy Information Literacy Assessments for Small Academic Libraries (Julie Pinnell); (30) Traversing the Path: A Library Director's Guide to the Higher Learning Commission's Open Pathway for Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing the Internet to Introduce Information Literacy (Kelly Leahy); (32) Chatspeak for Librarians: Best Practices for Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner in the Library (Greta Valentine); (34) The Poet's Papers: Literary Research in the Small College Archives (Martha A. Tanner); (35) Giving Students an Edge: Enhancing Resumes with a Digital Information Research Certificate (Rachel R. Vukas); and (36) Where Did You Get That eBook? Comparison of Student/Faculty Use of eBooks, Library Space, and Citation Management Programs (Alice B. Ruleman). (Individual papers contain references.) [For the 2017 proceedings, see ED578189.]

“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Metadata:

  • Title: ➤  ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]
  • Author:
  • Language: English

“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 109.10 Mbs, the file-s for this book were downloaded 126 times, the file-s went public at Wed May 24 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.] at online marketplaces:


18[EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning

Python is the lingua franca for data analytics and machine learning. Its superior productivity makes it the preferred tool for prototyping. However, traditional Python packages are not necessarily designed to provide high performance and scalability for large datasets. From this talk you will learn how to get close-to-native performance with Intel-optimized packages, such as numpy, scipy, and scikit-learn. The next part of the talk is focused on getting high performance and scalability from multi-cores on a single machine to large clusters of workstations. It will be demonstrated that with Python it is possible to achieve the same performance and scalability as with hand-tuned C++/MPI code: - Scalable Dataframe Compiler (SDC) makes possible to efficiently load and process huge datasets using pandas/Python. - A convenient Python API to data analytics and machine learning primitives (daal4py). While its interface is scikit-learn-like, its MPI-based engine allows to scale machine learning algorithms to bare-metal cluster performance. - From the talk you will learn how to use SDC and daal4py together to build an end-to-end analytics pipeline that scales to clusters, requiring only minimal code changes. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/

“[EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning” Metadata:

  • Title: ➤  [EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning
  • Language: English

“[EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1158.12 Mbs, the file-s for this book were downloaded 36 times, the file-s went public at Wed Nov 04 2020.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find [EuroPython 2020] V. Fedotova/F. Schlimbach - The Painless Route In Python To Fast And Scalable Machine Learning at online marketplaces:


19Building Machine Learning Demos With Python

By

By: Omar Sanseviero Event: PyConZA 2021 Url: https://2021.za.pycon.org/talks/37-building-machine-learning-demos-with-python/ About: How can you show what a Machine Learning model does once it's trained? In this talk, you're going to learn how to create Machine Learning apps and demos using Streamlit and Gradio, Python libraries for this purpose. Additionally, you'll see how to share them with the rest of the Open Source ecosystem. Learning to create graphic interfaces for models is extremely useful for sharing with other people interesting with them. Room: Video Room 2 Scheduled start: 2021-10-07 13:45:00 Sponsors: Gold: SPAN Digital: https://spandigital.com/ Takealot: http://takealot.com/ Andela: https://www.andela.com/ Silver: Python Software Foundation: https://www.python.org/psf/membership OfferZen: https://www.offerzen.com/ Patron: Thinkst Canary: https://canary.tools/ Afrolabs: http://www.afrolabs.co.za/

“Building Machine Learning Demos With Python” Metadata:

  • Title: ➤  Building Machine Learning Demos With Python
  • Author:
  • Language: English

“Building Machine Learning Demos With Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 265.61 Mbs, the file-s for this book were downloaded 104 times, the file-s went public at Mon Oct 25 2021.

Available formats:
Archive BitTorrent - Item Tile - Metadata - Thumbnail - WebM - h.264 -

Related Links:

Online Marketplaces

Find Building Machine Learning Demos With Python at online marketplaces:


20Learning Python

By

Includes index

“Learning Python” Metadata:

  • Title: Learning Python
  • Authors:
  • Language: English

“Learning Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 407.65 Mbs, the file-s for this book were downloaded 4160 times, the file-s went public at Tue Jun 15 2010.

Available formats:
ACS Encrypted PDF - Abbyy GZ - Animated GIF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Grayscale PDF - Item Tile - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - MARC - MARC Binary - MARC Source - Metadata - Metadata Log - OCLC xISBN JSON - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Python at online marketplaces:


21Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning

Python for Computer Vision By Jose Poritla

“Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning” Metadata:

  • Title: ➤  Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning

“Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "software" format, the size of the file-s is: 5820.01 Mbs, the file-s for this book were downloaded 14255 times, the file-s went public at Thu Aug 06 2020.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - SubRip - Thumbnail - Unknown - ZIP -

Related Links:

Online Marketplaces

Find Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning at online marketplaces:


22[LinkedInx Learning] - Técnicas Avançadas De Python

.

“[LinkedInx Learning] - Técnicas Avançadas De Python” Metadata:

  • Title: ➤  [LinkedInx Learning] - Técnicas Avançadas De Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1388.41 Mbs, the file-s for this book were downloaded 12 times, the file-s went public at Thu Nov 11 2021.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - ZIP - h.264 -

Related Links:

Online Marketplaces

Find [LinkedInx Learning] - Técnicas Avançadas De Python at online marketplaces:


23Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 82.73 Mbs, the file-s for this book were downloaded 48 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA)) at online marketplaces:


24Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now

By

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))

“Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now” Metadata:

  • Title: ➤  Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now
  • Author:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 321.33 Mbs, the file-s for this book were downloaded 65 times, the file-s went public at Wed May 25 2022.

Available formats:
ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now at online marketplaces:


25Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

By

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines” Metadata:

  • Title: ➤  Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines
  • Author:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 228.68 Mbs, the file-s for this book were downloaded 97 times, the file-s went public at Tue May 07 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines at online marketplaces:


26Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System

By

Programmers may be hesitant to use declarative systems, because of the associated learning curve. In this paper, we present an API that integrates the IDP Knowledge Base system into the Python programming language. IDP is a state-of-the-art logical system, which uses SAT, SMT, Logic Programming and Answer Set Programming technology. Python is currently one of the most widely used (teaching) languages for programming. The first goal of our API is to allow a Python programmer to use the declarative power of IDP, without needing to learn any new syntax or semantics. The second goal is allow IDP to be added to/removed from an existing code base with minimal changes.

“Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System” Metadata:

  • Title: ➤  Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System
  • Author:

“Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 0.19 Mbs, the file-s for this book were downloaded 32 times, the file-s went public at Thu Jun 28 2018.

Available formats:
Archive BitTorrent - Metadata - Text PDF -

Related Links:

Online Marketplaces

Find Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System at online marketplaces:


27Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection in Python)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 66.19 Mbs, the file-s for this book were downloaded 67 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Item Tile - MPEG4 - Metadata - Thumbnail - ZIP -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection In Python) at online marketplaces:


28Solar Wind In Situ Data Suitable For Machine Learning (python Numpy Structured Arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER

By

These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects. See AAREADME_insitu_ML.txt for more explanation. If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, A. Isavnin): [email protected] or twitter @chrisoutofspace Made with https://github.com/cmoestl/heliocats Load in python with e.g. for Parker Solar Probe data: > import pickle > filepsp='psp_2018_2019_sceq_ndarray.p' > [psp,hpsp]=pickle.load(open(filepsp, "rb" ) ) plot time vs total field > import matplotlib.pyplot as plt > plt.plot(psp['time'],psp['bt']) Times psp[:,0 ] or psp['time'] are in matplotlib format. Variable 'hpsp' contains a header with the variable names and units for each column. Coordinate systems for magnetic field components are RTN (Ulysses), SCEQ (Parker Solar Probe, STEREO-A/B, VEX, MESSENGER), HEEQ (Wind) available parameters: bt = total magnetic field bxyz = magnetic field components vt = total proton speed vxyz = velocity components (only for PSP) np = proton density tp = proton temperature xyz = spacecraft position in HEEQ r, lat, lon = spherical coordinates of position in HEEQ

“Solar Wind In Situ Data Suitable For Machine Learning (python Numpy Structured Arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER” Metadata:

  • Title: ➤  Solar Wind In Situ Data Suitable For Machine Learning (python Numpy Structured Arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER
  • Authors:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 2669.84 Mbs, the file-s for this book were downloaded 15 times, the file-s went public at Thu Jan 13 2022.

Available formats:
Archive BitTorrent - Metadata - Text - Unknown -

Related Links:

Online Marketplaces

Find Solar Wind In Situ Data Suitable For Machine Learning (python Numpy Structured Arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER at online marketplaces:


29Python Machine Learning The Ultimate Beginners Guide To Learn Python Machine Learning Step By Step Using Scikit Learn By Reed, Mark (z Lib.org)

Python Machine Learning The Ultimate Beginners Guide to Learn Python Machine Learning Step by Step using Scikit-Learn by Reed, Mark

“Python Machine Learning The Ultimate Beginners Guide To Learn Python Machine Learning Step By Step Using Scikit Learn By Reed, Mark (z Lib.org)” Metadata:

  • Title: ➤  Python Machine Learning The Ultimate Beginners Guide To Learn Python Machine Learning Step By Step Using Scikit Learn By Reed, Mark (z Lib.org)

“Python Machine Learning The Ultimate Beginners Guide To Learn Python Machine Learning Step By Step Using Scikit Learn By Reed, Mark (z Lib.org)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 73.55 Mbs, the file-s for this book were downloaded 142 times, the file-s went public at Fri Sep 01 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Python Machine Learning The Ultimate Beginners Guide To Learn Python Machine Learning Step By Step Using Scikit Learn By Reed, Mark (z Lib.org) at online marketplaces:


30Python Programming And Maching Learning Understanding How To Code Within 24 Hours 2 In 1

By

Learn how to Code:

“Python Programming And Maching Learning Understanding How To Code Within 24 Hours 2 In 1” Metadata:

  • Title: ➤  Python Programming And Maching Learning Understanding How To Code Within 24 Hours 2 In 1
  • Author:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 54.28 Mbs, the file-s for this book were downloaded 327 times, the file-s went public at Wed Apr 27 2022.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Python Programming And Maching Learning Understanding How To Code Within 24 Hours 2 In 1 at online marketplaces:


31Algorithmic Trading A Z With Python And Machine Learning

Algorithmic Trading A-Z with Python and Machine Learning

“Algorithmic Trading A Z With Python And Machine Learning” Metadata:

  • Title: ➤  Algorithmic Trading A Z With Python And Machine Learning

“Algorithmic Trading A Z With Python And Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 10176.21 Mbs, the file-s for this book were downloaded 161 times, the file-s went public at Wed Jan 13 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - Metadata - Text - ZIP -

Related Links:

Online Marketplaces

Find Algorithmic Trading A Z With Python And Machine Learning at online marketplaces:


32Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails

Mastering Git Switch, Python Learning Sites, and Debugging Ruby on Rails" is a comprehensive guide for developers aiming to enhance their skills in essential areas of modern software development. This blog covers three critical topics: mastering the git switch command in Git for efficient branch management, exploring the best Python learning sites for programmers, and delving into advanced debugging techniques for Ruby on Rails applications. Know more - https://stackify.com/

“Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails” Metadata:

  • Title: ➤  Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails
  • Language: English

“Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 2.36 Mbs, the file-s for this book were downloaded 16 times, the file-s went public at Fri Sep 20 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails at online marketplaces:


33After Work Data Science Ensemble Learning With Python Project

After Work Data Science Ensemble Learning With Python Project

“After Work Data Science Ensemble Learning With Python Project” Metadata:

  • Title: ➤  After Work Data Science Ensemble Learning With Python Project
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 1.09 Mbs, the file-s for this book were downloaded 181 times, the file-s went public at Tue Nov 23 2021.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find After Work Data Science Ensemble Learning With Python Project at online marketplaces:


34A Machine Learning Approach In Python Is Used To Forecast The Number Of Train Passengers Using A Fuzzy Time Series Model

Train passenger forecasting assists in planning, resource use, and system management. forecasts rail ridership. Train passenger predictions help prevent stranded passengers and empty seats. Simulating rail transport requires a low-error model. We developed a fuzzy time series forecasting model. Using historical data was the goal. This concept predicts future railway passengers using Holt's double exponential smoothing (DES) and a fuzzy time series technique based on a rate-of-change algorithm. Holt's DES predicts the next period using a fuzzy time series and the rate of change. This method improves prediction accuracy by using event discretization. positive, since changing dynamics reveal trends and seasonality. It uses event discretization and machine-learning-optimized frequency partitioning. The suggested method is compared to existing train passenger forecasting methods. This study has a low average forecasting error and a mean squared error.

“A Machine Learning Approach In Python Is Used To Forecast The Number Of Train Passengers Using A Fuzzy Time Series Model” Metadata:

  • Title: ➤  A Machine Learning Approach In Python Is Used To Forecast The Number Of Train Passengers Using A Fuzzy Time Series Model

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 8.75 Mbs, the file-s for this book were downloaded 56 times, the file-s went public at Wed Nov 02 2022.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find A Machine Learning Approach In Python Is Used To Forecast The Number Of Train Passengers Using A Fuzzy Time Series Model at online marketplaces:


35Come Organizzare La Struttura Di Un Progetto Python O Machine Learning

By

In questo video parleremo di un tema molto importante: come strutturare correttamente un progetto Python o Machine Learning.Strutturare correttamente un progetto Python serve prima di tutto a dare un senso a quello che state facendo e a rendere il codice immediatamente comprensibile, soprattutto a distanza di tempo, per poi stessi e anche per chi dovrà lavorare al vostro stesso progetto e quindi al vostro codice.Infatti, se avete del codice abbastanza \"incasinato\" e non strutturato correttamente, nel caso qualcuno (collaboratore, amico, conoscente, ecc.) dovesse aiutarvi nella ricerca di bugs o nell'implementazione di nuove funzionalità, dovrà prima di tutto capire come funziona il vostro programma, quali sono i flussi del software e come esso e organizzato. Risulterà quindi un'enorme perdita di tempo. Invece di concentrarvi nella vera risoluzione di un bug, dovrete prima di tutto cercare di capire come funziona il codice.Un progetto ben strutturato, e quindi anche un codice ben organizzato, vi consentirà un agevole refactor e un'agevole implementazione di nuove funzionalità.

“Come Organizzare La Struttura Di Un Progetto Python O Machine Learning” Metadata:

  • Title: ➤  Come Organizzare La Struttura Di Un Progetto Python O Machine Learning
  • Author:

“Come Organizzare La Struttura Di Un Progetto Python O Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "audio" format, the size of the file-s is: 22.26 Mbs, the file-s for this book were downloaded 12 times, the file-s went public at Tue Jun 22 2021.

Available formats:
Archive BitTorrent - Columbia Peaks - Item Tile - Metadata - PNG - Spectrogram - VBR MP3 -

Related Links:

Online Marketplaces

Find Come Organizzare La Struttura Di Un Progetto Python O Machine Learning at online marketplaces:


36Python-Powered Machine Learning In The Cloud

In questo video parleremo di un tema molto importante: come strutturare correttamente un progetto Python o Machine Learning.Strutturare correttamente un progetto Python serve prima di tutto a dare un senso a quello che state facendo e a rendere il codice immediatamente comprensibile, soprattutto a distanza di tempo, per poi stessi e anche per chi dovrà lavorare al vostro stesso progetto e quindi al vostro codice.Infatti, se avete del codice abbastanza \"incasinato\" e non strutturato correttamente, nel caso qualcuno (collaboratore, amico, conoscente, ecc.) dovesse aiutarvi nella ricerca di bugs o nell'implementazione di nuove funzionalità, dovrà prima di tutto capire come funziona il vostro programma, quali sono i flussi del software e come esso e organizzato. Risulterà quindi un'enorme perdita di tempo. Invece di concentrarvi nella vera risoluzione di un bug, dovrete prima di tutto cercare di capire come funziona il codice.Un progetto ben strutturato, e quindi anche un codice ben organizzato, vi consentirà un agevole refactor e un'agevole implementazione di nuove funzionalità.

“Python-Powered Machine Learning In The Cloud” Metadata:

  • Title: ➤  Python-Powered Machine Learning In The Cloud

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 276.50 Mbs, the file-s for this book were downloaded 99 times, the file-s went public at Fri Sep 23 2016.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find Python-Powered Machine Learning In The Cloud at online marketplaces:


37[EuroPython 2016] Ankit Bahuguna - Query Embeddings: Web Scale Search Powered By Deep Learning And Python

Ankit Bahuguna - Query Embeddings: Web Scale Search powered by Deep Learning and Python [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/query-embeddings) Query Embeddings is an unsupervised deep learning based system, built using Python and open source libraries (Annoy, keyvi etc.) which recognizes similarity between queries and their vector representations, for a web scale search engine integrated within Cliqz browser [https://cliqz.com/en]. It improves recall for previously unseen queries and is one of the many key components of our search stack. The framework be utilized by other low latency systems involving vector representations. ----- A web search engine allows a user to type few words of query and it presents list of potential relevant results within fraction of a second. Traditionally, keywords in the user query were fuzzy-matched in realtime with the keywords within different pages of the index and they didn't really focus on understanding meaning of query. Recently, Deep Learning + NLP techniques try to _represent sentences or documents as fixed dimensional vectors in high dimensional space_. These special vectors inherit semantics of the document. Query embeddings is an unsupervised deep learning based system, built using Python, Word2Vec, Annoy and Keyvi (https://github.com/cliqz- oss/keyvi) which recognizes similarity between queries and their vectors for a web scale search engine within Cliqz browser. (https://cliqz.com/en) ![][1] The goal is to describe how query embeddings contribute to our existing python search stack at scale and latency issues prevailing in real time search system. Also is a preview of separate vector index for queries, utilized by retrieval system at runtime via ANNs to get closest queries to user query, which is one of the many key components of our search stack. ![][2] Prerequisites: Basic experience in NLP, ML, Deep Learning, Web search and Vector Algebra. Libraries: Annoy. [1]: https://sites.google.com/site/netankit/1.png [2]: https://sites.google.com/site/netankit/3.png

“[EuroPython 2016] Ankit Bahuguna - Query Embeddings: Web Scale Search Powered By Deep Learning And Python” Metadata:

  • Title: ➤  [EuroPython 2016] Ankit Bahuguna - Query Embeddings: Web Scale Search Powered By Deep Learning And Python
  • Language: English

“[EuroPython 2016] Ankit Bahuguna - Query Embeddings: Web Scale Search Powered By Deep Learning And Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 363.10 Mbs, the file-s for this book were downloaded 85 times, the file-s went public at Mon Aug 08 2016.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find [EuroPython 2016] Ankit Bahuguna - Query Embeddings: Web Scale Search Powered By Deep Learning And Python at online marketplaces:


38Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python

I am testing

“Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python” Metadata:

  • Title: ➤  Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 3.81 Mbs, the file-s for this book were downloaded 172 times, the file-s went public at Mon Mar 29 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - GZIP - Metadata -

Related Links:

Online Marketplaces

Find Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python at online marketplaces:


39Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)

By

I am testing

“Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)” Metadata:

  • Title: ➤  Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)
  • Authors:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 35 times, the file-s went public at Tue Aug 11 2020.

Available formats:
Archive BitTorrent - BitTorrent - Metadata - Unknown -

Related Links:

Online Marketplaces

Find Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper) at online marketplaces:


40Scikit-learn: Machine Learning In Python

By

I am testing

“Scikit-learn: Machine Learning In Python” Metadata:

  • Title: ➤  Scikit-learn: Machine Learning In Python
  • Authors: ➤  

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 48 times, the file-s went public at Tue Aug 11 2020.

Available formats:
Archive BitTorrent - BitTorrent - Metadata - Unknown -

Related Links:

Online Marketplaces

Find Scikit-learn: Machine Learning In Python at online marketplaces:


41[LinkedInx Learning] - Descubra O Python

.

“[LinkedInx Learning] - Descubra O Python” Metadata:

  • Title: ➤  [LinkedInx Learning] - Descubra O Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 636.23 Mbs, the file-s for this book were downloaded 14 times, the file-s went public at Wed Nov 10 2021.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - ZIP - h.264 -

Related Links:

Online Marketplaces

Find [LinkedInx Learning] - Descubra O Python at online marketplaces:


42[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING

Executing machine learning models in a production environment can be tricky, especially at a major bank where compliance and risk are carefully taken into account. In this talk I explain how, we, at ING (a large bank operating on global scale), execute our Python models in a production environment by building minimal Docker images for python versions. I will first talk about the possible security risks of running any docker container in a production environment. Then I will talk about ways in which we can make Docker containers more secure by building minimal docker images for Python. Finally I will explain how these docker images are used in practice to serve machine learning models at ING. Prerequisites: - Some basic knowledge of Docker can be helpful - Some basic understanding of security can be helpful Goals: - Understand the security risks of running docker containers - Know how to make docker images more secure - How to build secure model serving docker images Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Metadata:

  • Title: ➤  [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING
  • Language: English

“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1833.89 Mbs, the file-s for this book were downloaded 38 times, the file-s went public at Thu Nov 05 2020.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - h.264 IA -

Related Links:

Online Marketplaces

Find [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING at online marketplaces:


43PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7

By

Introduction à la programmation Python pour faire du Machine Learning. Python est un langage interprété, et c'est le meilleur pour faire du Machine Learning en 2019 : il contient le plus de fonctionnalité et de ressource pour exceller en Machine Learning et en Deep Learning. Google, Facebook, Amazon utilisent tous Python pour leurs initiatives d'intelligence artificielle. Dans cette vidéo, je vous montre les structures de contrôle de base qu'il faut maîtriser pour écrire des algorithmes de machine learning. ► Timecode de la vidéo : 00:00 : Début 0:26 : Introduction 1:58 : Les Bases de Python 2:57 : Commentaires, Variables, Print 5:04 : IF - ELIF - ELSE 7:42 : Astuce Bonus 8:10 : Jupyter Notebook 9:27 : FOR LOOP 10:40 : WHILE LOOP 12:10 : Importer des Modules 14:02 : Créer nos propres fonctions ► Lien pour télécharger Anaconda : https://www.anaconda.com ► ARTICLE EN COMPLÉMENT DE CETTE VIDÉO: https://machinelearnia.com/ ► Soutenez-moi sur Tipeee pour du contenu BONUS: https://fr.tipeee.com/machine-learnia ► REJOINS NOTRE COMMUNAUTÉ DISCORD https://discord.gg/WMvHpzu ► Recevez gratuitement mon Livre: APPRENDRE LE MACHINE LEARNING EN UNE SEMAINE CLIQUEZ ICI: https://machinelearnia.com/apprendre-le-machine-learning-en-une-semaine/ ► Pour En Savoir plus : Visitez Machine Learnia : https://machinelearnia.com/ ► Qui suis-je ? Je m’appelle Guillaume Saint-Cirgue et je suis Data Scientist au Royaume Uni. Après avoir suivi un parcours classique maths sup maths spé et avoir intégré une bonne école d’ingénieur, je me suis tourné vers l’intelligence artificielle de ma propre initiative et j’ai commencé à apprendre tout seul le machine learning et le deep learning en suivant des formations payantes, en lisant des articles scientifiques, en suivant les cours du MIT et de Stanford et en passant des week end entier à développer mes propres codes. Aujourd’hui, je veux vous offrir ce que j’ai appris gratuitement car le monde a urgemment besoin de se former en Intelligence Artificielle. Que vous souhaitiez changer de vie, de carrière, ou bien développer vos compétences à résoudre des problèmes, ma chaîne vous y aidera. C’est votre tour de passer à l’action ! ► Une question ? Contactez-moi: [email protected]

“PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7” Metadata:

  • Title: ➤  PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7
  • Author:

“PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 46.55 Mbs, the file-s for this book were downloaded 297 times, the file-s went public at Sun Oct 01 2023.

Available formats:
Archive BitTorrent - Item Tile - JSON - MPEG4 - Metadata - SubRip - Thumbnail - Unknown - Web Video Text Tracks -

Related Links:

Online Marketplaces

Find PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7 at online marketplaces:


44Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3

By

This time on the show, pound include programming dot h! We're going to void main and Hello World all up in this biznitch. Python, JavaScript, BASIC? It's time to learn to code! All that and more this time on Hak5............return zero Source: https://www.youtube.com/watch?v=AmNZwW6833U Uploader: Hak5

“Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3” Metadata:

  • Title: ➤  Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3
  • Author:

“Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 149.95 Mbs, the file-s for this book were downloaded 90 times, the file-s went public at Tue Jul 09 2019.

Available formats:
Archive BitTorrent - Item Tile - JPEG - JPEG Thumb - JSON - MPEG4 - Metadata - Ogg Video - Thumbnail - Unknown -

Related Links:

Online Marketplaces

Find Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3 at online marketplaces:


45Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics

By

This time on the show, pound include programming dot h! We're going to void main and Hello World all up in this biznitch. Python, JavaScript, BASIC? It's time to learn to code! All that and more this time on Hak5............return zero Source: https://www.youtube.com/watch?v=AmNZwW6833U Uploader: Hak5

“Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics” Metadata:

  • Title: ➤  Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics
  • Author:
  • Language: English

“Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 1049.68 Mbs, the file-s for this book were downloaded 590 times, the file-s went public at Thu Jun 16 2022.

Available formats:
ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics at online marketplaces:


46Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization

Python for Brain Mining: (Neuro)science with State of the Art Machine Learning and Data Visualization Gael Varoquaux If you have questions, email [email protected]

“Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization” Metadata:

  • Title: ➤  Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization

“Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 530.91 Mbs, the file-s for this book were downloaded 370 times, the file-s went public at Sat Jul 30 2011.

Available formats:
Animated GIF - Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization at online marketplaces:


477.Python For Data Science Machine Learning AI

Python-Introduction to Data Science and Machine learning

“7.Python For Data Science Machine Learning AI” Metadata:

  • Title: ➤  7.Python For Data Science Machine Learning AI

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 3282.60 Mbs, the file-s for this book were downloaded 6 times, the file-s went public at Wed Aug 27 2025.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find 7.Python For Data Science Machine Learning AI at online marketplaces:


48Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 153.04 Mbs, the file-s for this book were downloaded 51 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (26 - K-Means Clustering) at online marketplaces:


49Top 10 Python Libraries For Machine Learning

Want to master Machine Learning in Python? In this video, we break down the Top 10 Python Libraries every ML & AI practitioner should know! These libraries are essential for data preprocessing, model building, deep learning, and performance optimization. 🔹 Scikit-Learn – The go-to library for ML models 🤖 🔹 TensorFlow & PyTorch – Powering Deep Learning & Neural Networks 🔥 🔹 XGBoost & LightGBM – Boosting algorithms for high-performance ML 📈 🔹 Pandas & NumPy – Data manipulation & numerical computing 📊 🔹 Matplotlib & Seaborn – Data visualization & insights 📉 🔹 NLTK & SpaCy – NLP & text analytics 📝 ✅ Want to become a Data Science Expert? Explore the best Data Science Certification Course in Delhi and take your ML skills to the next level! For more information visit our website: https://bostoninstituteofanalytics.org/india/delhi/connaught-place/school-of-technology-ai/data-science-and-artificial-intelligence/

“Top 10 Python Libraries For Machine Learning” Metadata:

  • Title: ➤  Top 10 Python Libraries For Machine Learning

“Top 10 Python Libraries For Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 18.84 Mbs, the file-s for this book were downloaded 14 times, the file-s went public at Wed Mar 05 2025.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - h.264 IA -

Related Links:

Online Marketplaces

Find Top 10 Python Libraries For Machine Learning at online marketplaces:


50DFSP # 212 - Learning Python

By

This week I review resources aimed at teaching you Python

“DFSP # 212 - Learning Python” Metadata:

  • Title: DFSP # 212 - Learning Python
  • Author: ➤  

Edition Identifiers:

Downloads Information:

The book is available for download in "audio" format, the size of the file-s is: 7.03 Mbs, the file-s for this book were downloaded 5 times, the file-s went public at Sun Mar 21 2021.

Available formats:
Archive BitTorrent - Item Tile - MPEG-4 Audio - Metadata - PNG -

Related Links:

Online Marketplaces

Find DFSP # 212 - Learning Python at online marketplaces:


Source: The Open Library

The Open Library Search Results

Available books for downloads and borrow from The Open Library

1Learning Python

By

Book's cover

“Learning Python” Metadata:

  • Title: Learning Python
  • Authors:
  • Languages: English - ger
  • Number of Pages: Median: 591
  • Publisher: ➤  O'Reilly Media - O'Reilly Media, Incorporated - O'Reilly - Shroff Publishers & Distributors Pvt. Ltd. - CreateSpace Independent Publishing Platform - O'Reilly Media, Inc.
  • Publish Date: ➤  
  • Publish Location: ➤  Sebstopol - Sebastopol, CA - Cambridge - Taipei - Tokyo - Farnham - Paris - Köln - Beijing - CA 95472

“Learning Python” Subjects and Themes:

Edition Identifiers:

First Setence:

"Dieses Buch bietet Ihnen eine kurze Einführung in die Programmiersprache Python."

Access and General Info:

  • First Year Published: 1999
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

Online Access

Downloads Are Not Available:

The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

Online Borrowing:

Online Marketplaces

Find Learning Python at online marketplaces:


2Learning Python Manual (4th edition)(Chinese Edition)

By

“Learning Python Manual (4th edition)(Chinese Edition)” Metadata:

  • Title: ➤  Learning Python Manual (4th edition)(Chinese Edition)
  • Author:
  • Publisher: Machinery Industry Press
  • Publish Date:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2011
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

Online Access

Downloads Are Not Available:

The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

Online Borrowing:

Online Marketplaces

Find Learning Python Manual (4th edition)(Chinese Edition) at online marketplaces:


Source: LibriVox

LibriVox Search Results

Available audio books for downloads from LibriVox

1Susan B. Anthony Rebel, Crusader, Humanitarian

By

Book's cover

Alma Lutz's outstanding biography of Susan B. Anthony is revered for its descriptive power, attention to detail and historical significance to the women's Suffragette movement. - Summary by PhyllisV

“Susan B. Anthony Rebel, Crusader, Humanitarian” Metadata:

  • Title: ➤  Susan B. Anthony Rebel, Crusader, Humanitarian
  • Author:
  • Language: English
  • Publish Date:

Edition Specifications:

  • Format: Audio
  • Number of Sections: 26
  • Total Time: 14:16:52

Edition Identifiers:

Links and information:

  • LibriVox Link:
  • Text Source: - Download text file/s.
  • Number of Sections: 26 sections

Online Access

Download the Audio Book:

  • File Name: susanbanthony_2004_librivox
  • File Format: zip
  • Total Time: 14:16:52
  • Download Link: Download link

Online Marketplaces

Find Susan B. Anthony Rebel, Crusader, Humanitarian at online marketplaces:


Buy “Learning Python” online:

Shop for “Learning Python” on popular online marketplaces.