Thoughtful Machine Learning: A Test-Driven Approach
Kirk, Matthew
Sold by ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
AbeBooks Seller since March 24, 2009
Used - Soft cover
Condition: Used - Good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
AbeBooks Seller since March 24, 2009
Condition: Used - Good
Quantity: 1 available
Add to basketPages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G1449374069I3N00
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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