Lectures related to Probability vector

Covers the introduction and properties of Markov chains, including transition matrices and stochastic processes.

Introduces eigenvalues and eigenvectors for square matrices through examples.

Explains PageRank and HITS algorithms for web page ranking and authority calculation.

Covers echelon matrices, vector equations, linear combinations, and vector spans in R^n.

Covers Markov chains, Monte Carlo sampling, isotropy, and the curse of dimensionality.