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Thoughtful Machine Learning: A Test-Driven Approach

Matthew Kirk




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 | #1251726 in Books |  2014-10-12 |  2014-10-12 | Original language:English | PDF # 1 |  9.19 x.54 x7.00l,.0 | File type: PDF | 236 pages

||3 of 4 people found the following review helpful.| Neither good test driven development nor analyst/developer centric algorithm explanations|By Laurie Gavrin|Promises to do too much and falls flat. Neither good test driven development nor analyst/developer centric algorithm explanations. Not suitable for software company book groups.|8 of 8 people found the following review helpful.| Practical conten|About the Author|
|Matthew Kirk holds a B.S. in Economics and a B.S. in Applied and Computational Mathematical Sciences with a concentration in Quantitative Economics from the University of Washington. He started Modulus 7, a data science and Ruby developme

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 h...

You can specify the type of files you want, for your gadget.Thoughtful Machine Learning: A Test-Driven Approach   |  Matthew Kirk. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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