September 2016
Beginner to intermediate
264 pages
9h 26m
English
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List of Tables
Chapter 1. What is machine learning?
Table 1.1. Use cases for supervised machine learning, organized by the type of problem
Chapter 7. Advanced feature engineering
Table 7.2. Image metadata features that can be included in the ML pipeline
Table 7.3. San Francisco crime data in its raw form, as a sequence of events
Chapter 9. Scaling machine-learning workflows
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.