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Lectures.md

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List of lectures for EECS 545 W16

Lecture 03: convex-functions-optimization

Lecture 04: linear-regression-part1

Lecture 05: linear-regression-part2

Lecture 06: generative-models-gda

Lecture 07: nb-lda-perceptron

Lecture 08: kernel-methods-part1

Lecture 09: duality-kernel-regression

Lecture 10: svm-gaussians

Lecture 11: bayesian-lr-gaussian-processes

Lecture 12: ml_advice

Lecture 13: bias-variance-and-info-theory

Lecture 14: bayesian_networks

Lecture 15: latent-variables-independence-clustering

Lecture 16: clustering-mixtures-em

Lecture 17: gmm-hmm

Lecture 18: pgm-inference-applications