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Decoding the Binomial Distribution: A Fundamental Concept for Data Scientists
Latest   Machine Learning

Decoding the Binomial Distribution: A Fundamental Concept for Data Scientists

Last Updated on June 28, 2023 by Editorial Team

Author(s): Egor Howell

Originally published on Towards AI.

Understanding the basic building blocks of the binomial distribution


Photo by Chris Briggs on Unsplash

The binomial distribution is a widely used statistical distribution that Data Scientists should be familiar with, as it appears in numerous contexts. One notable example is its application in supervised learning problems for classification, where the loss function, the cross-entropy loss, is derived from the binomial distribution. In this post, we will explore the intuition, theory, and examples associated with this distribution.

The binomial distribution is a discrete distribution that measures the likelihood of achieving a specific number of successes in a given number of trials. For instance, it can answer the questions β€œWhat is the… Read the full blog for free on Medium.

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