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Mathematics for Machine Learning
assets.cambridge.orgextending statistical machine learning methods. He received his PhD in computer ... 8.4 Probabilistic Modeling and Inference 244 8.5 Directed Graphical Models 249 8.6 Model Selection 254 ... 12.2 Primal Support Vector Machine 338 12.3 Dual Support Vector Machine 347 12.4 Kernels 351 12.5 Numerical Solution 353
Introduction to Statistical Machine Learning
kioloa08.mlss.ccDensity Estimation † Reinforcement ... scope of my lecture, scope of other lectures (machine) learning / statistical, logic/knowledge-based (GOFAI) ... Bayesian linear regression: Comp. MAP argmaxw P(wjD) from prior P (w) and sampling model P (Djw). Weights of low variance components shrink most.