The Poisson distribution is a discrete probability distribution used to calculate the probability of a given number of events occurring in a fixed interval of time or space. It is named after French mathematician Siméon Denis Poisson and is used for independent events with a known constant mean rate. Examples include call centers receiving an average of 180 calls per hour, and the number of decay events from a radioactive source during a defined observation period.

UC Berkeley

Fall 2022

CS 70 presents key ideas from discrete mathematics and probability theory with emphasis on their application in Electrical Engineering and Computer Sciences. It addresses a variety of topics such as logic, induction, modular arithmetic, and probability. Sophomore mathematical maturity and programming experience equivalent to an Advanced Placement Computer Science A exam are prerequisites.

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+ 32 more conceptsStanford University

Spring 2023

This course offers a thorough understanding of probability theory and its applications in data analysis and machine learning. Prerequisites include CS103, CS106B, and Math 51 or equivalent courses.

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