Probability and StatisticsCovers inequalities, joint Gaussian distribution, risk estimation, and classification method testing in probability and statistics.
Continuous Random VariablesCovers continuous random variables, probability density functions, and distributions, with practical examples.
Review Session: Module 1Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Probability and StatisticsCovers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Testing: t-testsCovers t-tests, p-values calculation, and comparison of coefficients.
