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Test Driven Machine Learning

You're reading from  Test Driven Machine Learning

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781784399085
Pages 190 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Test-Driven Machine Learning
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Introducing Test-Driven Machine Learning 2. Perceptively Testing a Perceptron 3. Exploring the Unknown with Multi-armed Bandits 4. Predicting Values with Regression 5. Making Decisions Black and White with Logistic Regression 6. You're So Naïve, Bayes 7. Optimizing by Choosing a New Algorithm 8. Exploring scikit-learn Test First 9. Bringing It All Together Index

About the Reviewers

Lars Marius Garshol has worked as a consultant, product developer, and open source developer for two decades. He added Unicode support to the Opera web browser, edited a number of ISO standards, and developed the query language tolog. Later, he worked as an enterprise architect and an R&D developer. He is the developer of Duke, an open source tool for identifying near-duplicate database records. He wrote Definitive XML Application Development, published in 2002. Currently he is a software engineer at Schibsted Products & Technology in Oslo, Norway. He's working on a book on Norwegian farmhouse ale.

Alexey Grigorev is an experienced software developer and data scientist with five years of professional experience. In his day-to-day job, he actively uses R and Python for data cleaning, data analysis, and modeling. He believes that testing is not only an integral part of software development, but it is also very useful for building machine learning models.

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Published in: Nov 2015 Publisher: ISBN-13: 9781784399085
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