SQqYGsdNzf5zMhorLqsgjg==;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Structure (classical math reference)
- Ch 1 — Introduction
- Ch 2 — Probability
- Ch 3 — Generative models for discrete data
- Ch 4 — Gaussian models
- Ch 5 — Bayesian statistics
- Ch 6 — Frequentist statistics
- Ch 7 — Linear regression
- Ch 8 — Logistic regression
- Ch 9 — Generalized linear models & the exponential family
- Ch 10 — Directed graphical models (Bayes nets)
- Ch 11 — Mixture models & EM
- Ch 12 — Latent linear models
- Ch 13 — Sparse linear models
- Ch 14 — Kernels
- Ch 15 — Gaussian processes
- Ch 16 — Adaptive basis function models
- Ch 17 — Markov and hidden Markov models
- When to open this PDF
- When NOT to open this PDF
- Quick cross-reference to lessons