Thoughtful Machine Learning with Python: A Test-Driven Approach






[PDF.sc38] Thoughtful Machine Learning with Python: A Test-Driven Approach
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 | #204025 in Books |  O Reilly Media |  2017-01-27 | Original language:English | PDF # 1 |  9.17 x.46 x7.01l,.0 | File type: PDF | 216 pages

 | O Reilly Media

||0 of 0 people found the following review helpful.| Could be better|By Thomas J. E. Schwarz|This is a nice attempt, but it fails in two regards. First, the combination of software engineering (testing) and machine learning does not give any additional value. Second, the book is too short to give a good explanation of all the machine learning algorithms that are presented. This is not helped by poor editing. For example, on page|About the Author|
|Matthew Kirk has always been “the math guy” to those that know him best. He started his career as a quantitative financial analyst with Parametric Portfolio. While there, he studied momentum and reversal effects in Emerging Mar

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.

Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst intereste...



You easily download any file type for your gadget.Thoughtful Machine Learning with Python: A Test-Driven Approach   |  Matthew Kirk. I was recommended this book by a dear friend of mine.

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