Advanced Probability: SummaryCovers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.
Learning of AssociationsDelves into associative memory, Hebbian learning, and hierarchical organization in neural networks.
Central Tendency and DispersionExplores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.