Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Covers t-tests, p-values calculation, and comparison of coefficients.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
