Thoughtful Machine Learning: A Test-Driven Approach (Paperback)

Thoughtful Machine Learning: A Test-Driven Approach (Paperback)

作者: Matthew Kirk
出版社: O'Reilly
出版在: 2014-10-28
ISBN-13: 9781449374068
ISBN-10: 1449374069
裝訂格式: Paperback
總頁數: 236 頁





內容描述


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.Apply TDD to write and run tests before you start codingLearn the best uses and tradeoffs of eight machine learning algorithmsUse real-world examples to test each algorithm through engaging, hands-on exercisesUnderstand the similarities between TDD and the scientific method for validating solutionsBe aware of the risks of machine learning, such as underfitting and overfitting dataExplore techniques for improving your machine-learning models or data extraction




相關書籍

Advanced R 4 Data Programming and the Cloud: Using Postgresql, Aws, and Shiny

作者 Wiley Matt Joshua F.

2014-10-28

笨辦法學 Python 3 進階篇

作者 [美] 澤德·A. 肖(Zed A. Shaw) 王巍巍譯

2014-10-28

智能風控:原理算法與工程實踐

作者 梅子行

2014-10-28