May 2017
Beginner to intermediate
254 pages
6h 24m
English
Content preview from Python Machine Learning By Example
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Bayes' theorem by examples
It is important to understand Bayes' theorem before diving into the classifier. Let A and B denote two events. An event can be that it will rain tomorrow, two kings are drawn from a deck of cards, a person has cancer. In Bayes' theorem, 
the probability that A occurs given B is true can be computed by:
Where 
is the probability of observing B given A occurs, and , the probability of A occurs and B occurs respectively. ...
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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.