Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Generalized Linear ModelsCovers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Probability and StatisticsCovers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
Property TestingCovers the concept of property testing using statistical methods.
Probability and StatisticsCovers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
