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Probability for Machine Learning
/Random Variables & Distributions
/Discrete Random Variables

Discrete Random Variables

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Discrete Random Variables

Discrete random variables can only take on specific, separate values (usually countable).

Example: The number of customers entering a store in an hour or the number of heads in 10 coin flips.

In machine learning, discrete random variables appear in classification problems, count prediction tasks, and any scenario involving distinct categories or values. Models like Naive Bayes classifiers, decision trees, and logistic regression are designed to handle the probabilistic nature of discrete outcomes.