September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Summary
In this chapter, you learned how to gather, organize, and parse data. This is the first step, and one of the most important step, in developing machine learning models, but having data does not get us very far if we do not gain some intuition about our data and put it into a standard form for processing. Next, we will tackle some techniques for further structuring our data (matrices) and for understanding our data (statistics and probability).
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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.