Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Covers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
