July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Conditional probability
In this section, we will look at a concept called conditional probability. We will use the concept of a dependent event and independent event to understand the concept of conditional probability.
The conditional probability of an event B is the probability that the event will occur given the knowledge that an event, A, has already occurred. This probability is written as P(B|A), the notation for the probability of B given A. Now let's see how this conditional probability turns out when events are independent. Where events A and B are independent, the conditional probability of event B given event A is simply the probability of event B, that is, P(B). What if events A and B are not independent? Then, the 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.