July 2017
Beginner to intermediate
442 pages
10h 8m
English
Content preview from Statistics for Machine Learning
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Probability fundamentals
Before diving into Naive Bayes, it would be good to reiterate the fundamentals. Probability of an event can be estimated from observed data by dividing the number of trails in which an event occurred with total number of trails. For instance, if a bag contains red and blue balls and randomly picked 10 balls one by one with replacement and out of 10, 3 red balls appeared in trails we can say that probability of red is 0.3, pred = 3/10 = 0.3. Total probability of all possible outcomes must be 100 percent.
If a trail has two outcomes such as email classification either it is spam or ham and both cannot occur simultaneously, these events are considered as mutually exclusive with each other. In addition, if those outcomes ...
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