December 2018
Beginner to intermediate
356 pages
11h 50m
English
Content preview from Bayesian Analysis with Python - Second Edition
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The boundary decision
Feel free to skip this section and jump to the model implementation (next section) if you are not too interested in how we can derive the boundary decision.
From the model, we have the following equation:
And from the definition of the logistic function, we have 
, when the argument of the logistic regression is zero:
By reordering, we find the value of for which corresponds to the following expression:
This expression ...
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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.