Lectures related to Eigenstate Thermalization Hypothesis

Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.

Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

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