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Probability for ML
02 Probability Distributions 5
Discrete PDF CDF Gaussian Properties Beta Gamma Distributions Review & Cheat Sheet
03 Multivariate Probability 1
04 Bayesian Methods 5
Bayes Theorem for Machine Learning Bayesian Inference: Learning from Data Conjugate Priors: The Computational Shortcut Module Review: Bayesian Methods
05 Information Theory 5
Entropy & KL Divergence Mutual Information Cross-Entropy Loss Module Review: Information Theory
probability 6
Permutations & Combinations Module 1: Combinatorics & Counting Binomial Theorem Inclusion-Exclusion Principle Module Review: Combinatorics Probability Glossary
Courses / probability

Probability for ML

Probability for ML Last updated: Feb 27, 2026

Learn about Probability for ML with interactive visualizations and depth.

Course Modules

Module 01 Available

Probability Distributions

Learn about Probability Distributions with interactive visualizations and depth.

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Module 02 Available

Multivariate Probability

Learn about Multivariate Probability with interactive visualizations and depth.

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Module 03 Available

Bayesian Methods

Master Bayesian Statistics for Machine Learning. Learn Bayes' Theorem, Inference, MAP vs MLE, and Conjugate Priors with interactive visualizations.

Explore Module
Module 04 Available

Information Theory

A comprehensive guide to Information Theory: Entropy, KL Divergence, Mutual Information, and Cross-Entropy Loss.

Explore Module
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