Author: Matthew Kirk
Edition: 1 edition
Publication Date: October 12, 2014
Publisher: O`Reilly Media
ISBN-10: 1449374069
ISBN-13: 978-1449374068
Pages: 236 pages
Format: pdf
Size: 12M
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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.
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http://dlfeb.com/book/thoughtful-machine-learning-test-driven-approach/