May 2019
Intermediate to advanced
162 pages
4h 24m
English
Content preview from Supervised Machine Learning with Python
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What this book covers
Chapter 1, First Step toward Supervised Learning, covers the basics of supervised machine learning to get you prepared to start tackling problems on your own. The chapter comprises four important sections. First, we will get our Anaconda environment set up and make sure that we are able to run the examples. Over the next couple of sections following that, we will cover a bit more of the theory behind machine learning, before we start implementing algorithms in the final section, where we'll get our Anaconda environment set up.
Chapter 2, Implementing Parametric Models, dives into the guts of several popular supervised learning algorithms within the parametric modeling family. We'll start this section by formally introducing ...
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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.