Untitled

Related lectures (24)

Page 1 of 3

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Covers the integration of differential forms on smooth manifolds, including the concepts of closed and exact forms.

Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Covers proper actions of groups on Riemann surfaces and introduces algebraic curves via square roots.

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Covers random variables, variances, and covariance, as well as the probability in random graphs.

Explores the Stein algorithm for polynomial identity testing and the minimization of a cut problem.

Covers the basics of sets and operations in mathematics, from set properties to advanced operations.