Probability and StatisticsCovers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Probabilistic Linear RegressionExplores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Testing: t-testsCovers t-tests, p-values calculation, and comparison of coefficients.
Generalization ErrorExplores tail bounds, information bounds, and maximal leakage in the context of generalization error.
Estimating R: Example 100Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.
