Lectures related to Introduction to Continuous Random Variables: Probability Distributions

Covers the analysis of Markov chains and how to determine invariant distributions using different methods.

Introduces the fundamentals of statistical learning, covering supervised learning, decision theory, risk minimization, and overfitting.

Explores the statistical mechanics of learning, focusing on neural networks' mysteries and computational challenges.