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Learning Python by Mark Lutz
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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
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: random2
Edition Identifiers:
- Internet Archive ID: ➤ uHUT_andrew-park-data-science-for-beginners-4-books-in-1-python-programming-data-anal
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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.
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2Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models
By Layton, Robert, author
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: Layton, Robert, author
- Language: English
“Learning Data Mining With Python : Harness The Power Of Python To Analyze Data And Create Insightful Predictive Models” Subjects and Themes:
- Subjects: ➤ Python (Computer program language) - Data mining - COMPUTERS -- Programming Languages -- Python - COMPUTERS -- Databases -- Data Mining
Edition Identifiers:
- Internet Archive ID: learningdatamini0000layt
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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.
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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 -
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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:
- Internet Archive ID: ➤ warc_www_johnwittenauer_net-machine-learning-exercises-in-python-part-1_20160813
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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.
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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:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-30-eclat
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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.
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5Thoughtful Machine Learning With Python : A Test-driven Approach
By Kirk, Matthew (Data scientist), author
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: ➤ Kirk, Matthew (Data scientist), author
- Language: English
“Thoughtful Machine Learning With Python : A Test-driven Approach” Subjects and Themes:
- Subjects: ➤ Machine learning - Python (Computer program language) - Apprentissage automatique - Python (Langage de programmation)
Edition Identifiers:
- Internet Archive ID: thoughtfulmachin0000kirk
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.
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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 -
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6Python Machine Learning Tutorial (Data Science)
By Programming with Mosh
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: Programming with Mosh
“Python Machine Learning Tutorial (Data Science)” Subjects and Themes:
- Subjects: ➤ Youtube - video - Education - machine learning python - machine learning tutorial - machine learning - python - python tutorial - jupyter notebook - data science - python data science - python tutorial advanced - data science python - python machine learning
Edition Identifiers:
- Internet Archive ID: youtube-7eh4d6sabA0
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.
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73 Essential Python Libraries For AI & Machine Learning
By TCCI
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: TCCI
“3 Essential Python Libraries For AI & Machine Learning” Subjects and Themes:
- Subjects: ➤ python for ai - machine learning python - numpy tutorial - pandas data science - scikit learn basics - ai for beginners - ml with python - python libraries - data analysis - tcci bopal ahmedabad - computer coaching ahmedabad - programming short course - ai education - python bopal
Edition Identifiers:
- Internet Archive ID: ➤ 3-essential-python-libraries-for-ai-machine-learning
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.
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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:
- Subjects: ➤ Machine Learning A-Z AI - Python & R + ChatGPT Bonus 2023 (03 - Data Preprocessing in Python)
Edition Identifiers:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-03-data-preprocessing-in-python
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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.
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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:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-15-part-3-classification
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.
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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:
- Subjects: statistical learning - data analysis
Edition Identifiers:
- Internet Archive ID: islp-website
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.
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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:
- Subjects: ➤ Machine Learning A-Z AI - Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)
Edition Identifiers:
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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.
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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:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-41-kernel-pca
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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.
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13Learning Python
Learn Python from start to end
“Learning Python” Metadata:
- Title: Learning Python
- Language: English
Edition Identifiers:
- Internet Archive ID: learning-python
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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.
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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:
- Subjects: ➤ Machine Learning A-Z AI - Python & R + ChatGPT Bonus 2023 (07 - Multiple Linear Regression)
Edition Identifiers:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-07-multiple-linear-regression
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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.
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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:
- Internet Archive ID: ➤ machine-learning-a-z-ai-python-r-chatgpt-bonus-2023-20-naive-bayes
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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.
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16Learning Predictive Analytics With Python : Gain Practical Insights Into Predictive Modelling By Implementing Predictive Analytics Algorithms On Public Datasets With Python
By Kumar, Ashish, author
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: Kumar, Ashish, 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:
- Internet Archive ID: learningpredicti0000kuma
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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.
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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 ERIC
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: ERIC
- 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:
- Subjects: ➤ ERIC Archive - ERIC - Baudino, Frank, Ed. Johnson, Carolyn, Ed. Young, Natasha, Ed. Weese, Bailey, Ed. Academic Libraries - Inclusion - Homosexuality - Sexual Orientation - Sexual Identity - Library Instruction - Adult Students - Andragogy - Reference Services - Library Services - Librarian Teacher Cooperation - College Faculty - Creative Writing - Library Materials - Geographic Location - Information Literacy - Community Colleges - Periodicals - Bias - Humanities - Electronic Libraries - Library Administration - Active Learning - Learning Activities - Metadata - Story Telling - High School Students - College Students - Online Courses - Outreach Programs - Institutional Mission - Access to Information - Distance Education - Hispanic Americans - Social Media - Accreditation (Institutions) - Internet - Best Practices - Archives - Resumes (Personal) - Research Skills - Books - Electronic Publishing - Comparative Analysis - Citations (References) - Computer Software - Library Facilities - Space Utilization - Use Studies - Educational Resources - Programming Languages
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- Internet Archive ID: ERIC_ED590389
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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:
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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:
- Subjects: ➤ Analytics - Big Data - Distributed Systems - Machine-Learning - Scientific Libraries (Numpy/Pandas/SciKit/...) - EuroPython2020 - Python
Edition Identifiers:
- Internet Archive ID: Europython_2020_aDIofvBU
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19Building Machine Learning Demos With Python
By Omar Sanseviero
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: Omar Sanseviero
- Language: English
“Building Machine Learning Demos With Python” Subjects and Themes:
- Subjects: pyconza - pyconza2021 - python
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20Learning Python
By Lutz, Mark and Ascher, David
Includes index
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- Authors: Lutz, MarkAscher, David
- Language: English
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- Subjects: ➤ Python (Computer program language) - Python (Lenguaje de programación de computadores) - Python (Langage de programmation) - Python (linguagem de programação) - Python (programmeertaal) - langage à objets - interpréteur
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21Desire Course. Net Udemy Python For Computer Vision With Open CV And Deep Learning
Python for Computer Vision By Jose Poritla
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22[LinkedInx Learning] - Técnicas Avançadas De Python
.
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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))
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24Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now
By Robert Dwight
Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (40 - Linear Discriminant Analysis (LDA))
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- Author: Robert Dwight
- Language: English
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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
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'
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- Author: random2
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26Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System
By Joost Vennekens
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.
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- Author: Joost Vennekens
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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)
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- Subjects: ➤ Machine Learning A-Z AI - Python & R + ChatGPT Bonus 2023 (13 - Regression Model Selection in Python)
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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 Christian Moestl, Andreas Weiss, Rachel Bailey and Alexey Isavnin
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
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- Authors: Christian MoestlAndreas WeissRachel BaileyAlexey Isavnin
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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
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“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:
- Subjects: python - Machine Learning
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30Python Programming And Maching Learning Understanding How To Code Within 24 Hours 2 In 1
By Movch Stance
Learn how to Code:
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- Author: Movch Stance
- Language: English
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31Algorithmic Trading A Z With Python And Machine Learning
Algorithmic Trading A-Z with Python and Machine Learning
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- Subjects: Trading - Python - Machine Learning - ML
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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/
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- Title: ➤ Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails
- Language: English
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- Subjects: git switch - python learning sites - debugging ruby on rails
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- Internet Archive ID: ➤ mastering-git-switch-python-learning-sites-and-debugging-ruby-on-rails
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33After Work Data Science Ensemble Learning With Python Project
After Work Data Science Ensemble Learning With Python Project
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- Language: English
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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.
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35Come Organizzare La Struttura Di Un Progetto Python O Machine Learning
By AI and Coding Podcast
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.
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- Title: ➤ Come Organizzare La Struttura Di Un Progetto Python O Machine Learning
- Author: AI and Coding Podcast
“Come Organizzare La Struttura Di Un Progetto Python O Machine Learning” Subjects and Themes:
- Subjects: ➤ Podcast - informatica - programmazione - python - machine-learning - deep-learning - intelligenza-artificiale - python-tutorial-ita - imparare-a-programmare - programmare-in-python - ingegneria-informatica - python-tutorial-italiano - corso-python - corso-python-per-principianti - reti-neurali - progetto-python - progetto-machine-learning
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- Internet Archive ID: ➤ jvtgo3sdhku7b7n28t05abk03k7azvqbekzzq0cn
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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.
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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
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38Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python
I am testing
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39Python Environment For Bayesian Learning: Inferring The Structure Of Bayesian Networks From Knowledge And Data(Machine Learning Open Source Software Paper)
By Abhik Shah and Peter Woolf
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40Scikit-learn: Machine Learning In Python
By Fabian Pedregosa, Gal Varoquaux, Alex, re Gramfort, Vincent Michel, Bertr, Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake V, erplas, re Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot and douard Duchesnay
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41[LinkedInx Learning] - Descubra O Python
.
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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/
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“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Subjects and Themes:
- Subjects: ➤ Data Science - Docker - Machine-Learning - Operations - Security - EuroPython2019 - Python
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43PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7
By Machine Learnia
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]
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- Author: Machine Learnia
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- Subjects: ➤ Youtube - video - Education - Machine Learning Python - Machine Learning - python les bases - python tuto - python tutoriel francais - machine learning - machine learning français - Intelligence artificielle - machine learning tutoriel - apprentissage automatique
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- Internet Archive ID: youtube-8GBzamEdMOI
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44Hak5 - Learning Python, VBS Scripts And Trivia! Hak5 1022.3
By Hak5
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
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45Python Machine Learning : Unlock Deeper Insights Into Machine Learning With This Vital Guide To Cutting-edge Predictive Analytics
By Raschka, Sebastian, author
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
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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]
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477.Python For Data Science Machine Learning AI
Python-Introduction to Data Science and Machine learning
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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)
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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/
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50DFSP # 212 - Learning Python
By Digital Forensic Survival Podcast
This week I review resources aimed at teaching you Python
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Source: The Open Library
The Open Library Search Results
Available books for downloads and borrow from The Open Library
1Learning Python
By Mark Lutz and David Ascher

“Learning Python” Metadata:
- Title: Learning Python
- Authors: Mark LutzDavid Ascher
- 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: ➤ 1999 - 2000 - 2003 - 2004 - 2007 - 2008 - 2009 - 2013 - 2017 - 2025
- Publish Location: ➤ Sebstopol - Sebastopol, CA - Cambridge - Taipei - Tokyo - Farnham - Paris - Köln - Beijing - CA 95472
“Learning Python” Subjects and Themes:
- Subjects: ➤ Python (Langage de programmation) - Python (linguagem de programação) - Python (Computer program language) - Python (Lenguaje de programación de computadores) - Langage à objets - Python (programmeertaal) - Object-oriented programming (Computer science) - Python (Computer language) - Interpréteur - Python - COMPUTERS - Programming Languages - Engineering & Applied Sciences - Computer Science - General - Reference - Games - Com051360 - Cs.cmp_sc.app_sw - Cs.cmp_sc.prog_lang - Professional, career & trade -> computer science -> programming languages (jr/sr) - Professional, career & trade -> computer science -> general - Professional, career & trade -> computer science -> python
Edition Identifiers:
- The Open Library ID: ➤ OL57549797M - OL54755965M - OL37873566M - OL27149108M - OL23998730M - OL3320928M - OL21319952M - OL21486798M - OL6804857M - OL24051551M - OL7580972M - OL36706332M - OL36707517M - OL36711728M - OL36718928M - OL36742596M - OL36776863M - OL36776870M - OL36777338M - OL36777428M - OL36799010M - OL9497269M
- Online Computer Library Center (OCLC) ID: ➤ 182576260 - 390663631 - 55847258 - 44960325 - 829056028 - 41466161 - 51964644 - 858725415 - 857063121 - 76087559
- Library of Congress Control Number (LCCN): 2014497591 - 00267609 - 2009419071 - 2004273129 - 2010485706
- All ISBNs: ➤ 1098171306 - 9780596002817 - 9781449391751 - 1449355730 - 1565924649 - 0596002815 - 0596516800 - 144937932X - 1600330215 - 9780596158064 - 9783897211292 - 0596158068 - 0596516606 - 8173667381 - 9781565928213 - 9781600330216 - 9781098171308 - 1449391753 - 1548987832 - 9780596150280 - 9780596554491 - 9780596513986 - 9788173667381 - 9781449379322 - 9780596516802 - 1565928210 - 9781565924642 - 9780596516604 - 1565928938 - 1322126666 - 9781322126661 - 9781565928930 - 0596513984 - 9781548987831 - 3897211297 - 0596554494 - 9781449355739 - 0596150288
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:
- Borrowing from Open Library: Borrowing link
- Borrowing from Archive.org: Borrowing link
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2Learning Python Manual (4th edition)(Chinese Edition)
By MEI LU TE ZI Mark Lutz
“Learning Python Manual (4th edition)(Chinese Edition)” Metadata:
- Title: ➤ Learning Python Manual (4th edition)(Chinese Edition)
- Author: MEI LU TE ZI Mark Lutz
- Publisher: Machinery Industry Press
- Publish Date: 2011
Edition Identifiers:
- The Open Library ID: OL48591986M
- All ISBNs: 7111326539 - 9787111326533
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:
- Borrowing from Open Library: Borrowing link
- Borrowing from Archive.org: Borrowing link
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Source: LibriVox
LibriVox Search Results
Available audio books for downloads from LibriVox
1Susan B. Anthony Rebel, Crusader, Humanitarian
By Alma Lutz

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: Alma Lutz
- Language: English
- Publish Date: 1959
Edition Specifications:
- Format: Audio
- Number of Sections: 26
- Total Time: 14:16:52
Edition Identifiers:
- libriVox ID: 14887
Links and information:
Online Access
Download the Audio Book:
- File Name: susanbanthony_2004_librivox
- File Format: zip
- Total Time: 14:16:52
- Download Link: Download link
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