Matthew Kirk - Thoughtful Machine Learning [2015, PDF/EPUB/azw3, ENG] + Code torrent

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Thoughtful Machine Learning + Code

Внимание! Раздача обновлена 11 августа 2015. Добавлены исходники и файлы книги в форматах EPUB и azw3.

Год: 2015
Автор: Matthew Kirk
Издательство: O’Reilly
ISBN: 978-1-449-37406-8
Язык: Английский
Формат: PDF/EPUB/azw3
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 235
Описание: Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.
Machine-learning algorithms often have tests baked in, but they can’t account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the risk of errors with TDD and write clean, stable machine-learning code. If you’re familiar with Ruby 2.1, you’re ready to start.
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[spoiler="Оглавление"]
Prefaceix
1. Test-Driven Machine Learning 1
2. A Quick Introduction to Machine Learning 15
3. K-Nearest Neighbors Classification 21
4. Naive Bayesian Classification 51
5. Hidden Markov Models 75
6. Support Vector Machines 99
7. Neural Networks 125
8. Clustering 153
9. Kernel Ridge Regression 169
10. Improving Models and Data Extraction 187
11. Putting It All Togethe r205
Index 209
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