Part 2. Building a reactive machine learning system
This is the heart of the book. This part will build up your knowledge of the components of a machine learning system, starting from raw data in the wild and looping all the way back around to acting on the real world.
Chapter 3 is about collecting data. It’s not a normal chapter for a machine learning book: instead of hand-waving away where data comes from, we’ll take a serious look at a range of data issues, concentrating on when that data is big, fast, and hairy.
Chapter 4 explores deriving useful representations of data, called features. This is one of the most important skills a machine learning systems developer can have and is often the largest part of the work.
Once you get to chapter ...
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