Python machine learning - Info and Reading Options
unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
By Sebastian Raschka
"Python machine learning" was published by Packt Publishing in 2015 - enk, it has 425 pages and the language of the book is English.
“Python machine learning” Metadata:
- Title: Python machine learning
- Author: Sebastian Raschka
- Language: English
- Number of Pages: 425
- Publisher: Packt Publishing
- Publish Date: 2015
- Publish Location: enk
“Python machine learning” Subjects and Themes:
- Subjects: ➤ Python (Computer program language) - Machine learning - Python (computer program language) - Python - Neural networks - Natural language processing - Mathematical & statistical software - Data processing - Data mining - Data modeling & design - Algorithms - Professional, career & trade -> computer science -> neural networks - Professional, career & trade -> computer science -> natural language processing - Professional, career & trade -> computer science -> mathematical & statistical software - Professional, career & trade -> computer science -> python - Professional, career & trade -> computer science -> data processing - Professional, career & trade -> computer science -> database management - Professional, career & trade -> computer science -> data modeling & design - Professional, career & trade -> computer science -> algorithms
Edition Specifications:
- Pagination: xiii, 425 pages
Edition Identifiers:
- The Open Library ID: OL26886340M - OL19667740W
- Online Computer Library Center (OCLC) ID: 922562066
- ISBN-13: 9781783555130
- ISBN-10: 1783555130
- All ISBNs: 1783555130 - 9781783555130
AI-generated Review of “Python machine learning”:
"Python machine learning" Table Of Contents:
- 1- Giving computers the ability to learn from data
- 2- Training machine learning algorithms for classification
- 3- A tour of machine learning classifiers using Scikit-learn
- 4- Building good training sets : data preprocessing
- 5- Compressing data via dimensionality reduction
- 6- Learning best practices for model evaluation and hyperparameter tuning
- 7- Combining different models for ensemble learning
- 8- Applying machine learning to sentiment analysis
- 9- Embedding a machine learning model into a web application
- 10- Predicting continuous target variables with regression analysis
- 11- Working with unlabeled data : clustering analysis
- 12- Training artificial neural networks for image recognition
- 13- Parallelizing neural network training with Theano.
"Python machine learning" Description:
The Open Library:
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data -- its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.
Read “Python machine learning”:
Read “Python machine learning” by choosing from the options below.
Search for “Python machine learning” downloads:
Visit our Downloads Search page to see if downloads are available.
Borrow "Python machine learning" Online:
Check on the availability of online borrowing. Please note that online borrowing has copyright-based limitations and that the quality of ebooks may vary.
- Is Online Borrowing Available: Yes
- Preview Status: restricted
- Check if available: The Open Library & The Internet Archive
Find “Python machine learning” in Libraries Near You:
Read or borrow “Python machine learning” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Python machine learning” at a library near you.
Buy “Python machine learning” online:
Shop for “Python machine learning” on popular online marketplaces.
- Ebay: New and used books.