November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Understanding Bayes' rule
Let us begin by reviewing the Bayes' rule and it's associated terminology, before we start with our project.
Bayes' rule is used to describe the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, let's say we want to predict the probability a person having diabetes. If we know the preliminary medical test results, we can hope to get a more accurate prediction than when we don't know results of the test. Let's put some numbers around this to understand mathematically:
- 1% of population has diabetes ( and therefore 99% do not)
- Preliminary tests detect diabetes 80% of the time when it is there ( therefore 20% of time we require advanced tests)
- 10% of time ...
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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.