Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Monte Carlo: Markov ChainsCovers unsupervised learning, dimensionality reduction, SVD, low-rank estimation, PCA, and Monte Carlo Markov Chains.
CompressionCovers the concept of compression and constructing prefix-free codes based on given information.
Parameter EstimationDiscusses parameter estimation, including checks, quality, distribution, and statistical properties of estimates.
Discrete Random VariablesCovers properties and transformations of discrete random variables, focusing on PMF and expectation.