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Probabilistic machine learning
Foundations
Probabilistic inference
Probabilistic models
Parameter estimation
Bayesian statistics
Bayesian decision theory
Information theory
Optimization algorithms
Mathematical background
Sets, functions and relations
Linear algebra
Probability
Frequentist statistics
Bayesian statistics
Parameter estimation
Parameter estimation
Hypothesis testing
Hypothesis testing
Introduction to probability
Bayesian reasoning and Probability
Probability distributions
Bayesian probability and prior probabilities
Linear algebra
Highlights of linear algebra
Multiplication and Subspaces
Eigenvalues and Eigenvectors
Singular Value Decomposition (SVD)
Norms of vectors, matrices