Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
Covers t-tests, p-values calculation, and comparison of coefficients.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Covers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
