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Conditional probability and the generalized chain rule. It provides examples of mutually exclusive events and calculating probabilities of events given other events have already occurred. The document also briefly touches on machine learning and includes a probability problem related to Netflix. likely related to courses in probability, statistics, and machine learning.
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If events are mutually exclusive, probability of OR is simple:
1
2
1
2
1
1 2 3 n
1 2 1 3 1 2 1 2 - 1
n n
What is the probability that a user will watch Life is Beautiful? P ( E )
What is the probability that a user will watch Life is Beautiful? P ( E )
P (E) = lim n! n(E) n
#people who watched movie #people on Netflix
What is the probability that a user will watch Life is Beautiful, given they watched Amelie? P ( E|F ) P (E|F ) =
#people who watched both #people on Netflix #people who watched F #people on Netflix
#people who watched both #people on Netflix #people who watched F #people on Netflix
What is the probability that a user will watch Life is Beautiful, given they watched Amelie? P (E|F ) =
#people who watched both #people on Netflix #people who watched F #people on Netflix
Let E be the event that a user watched the given movie, Let F be the event that the same user watched Amelie: P ( E | F ) =