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Lecture
One hot encoding and Multinomial Distribution
Description
This lecture covers the concept of one hot encoding for nominal or ordinal variables, explaining how to represent them as indicator vectors. It also delves into the multinomial distribution, discussing the probability mass function, sampling, and the relationship with the Bernoulli and Binomial distributions.
Official source
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