October 2018
Beginner
362 pages
9h 32m
English
Bayes' rule is another essential tenet of probability theory in the machine learning sphere. It allows us to calculate the conditional probability of an event happening by inverting the conditions of the events. Bayes' rule is formally written as:

Let's use Bayes' rule to look at a simple conditional probability problem. In the following table, we see the likelihood of a patient contacting a disease:
|
Disease (1%) |
No Disease (99%) |
|
|
Test Positive |
80% |
9.6% |
|
Test Negative |
20% |
90.4% |
How do we interpret this table? The x axis tells us the percentage of the population who have the disease; ...
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