Discrete Probability Distributions

A probability distribution is a mathematical function that describes the likelihood of different outcomes for a random variable.

Discrete probability Distributions are probability distributions that deal with discrete random variables. These distributions are characterized by a list of possible values that the random variable can take on, along with the probability of each value occurring. The sum of the probabilities for all possible values must equal 1.

Discrete probability distributions are used as fundamental tools in machine learning, particularly when dealing with data that can only take a finite number of distinct values. These distributions describe the likelihood of each possible outcome for a discrete random variable. Understanding these distributions helps you to build effective models for tasks like classification, predictions recommendation systems etc.