Skip to content

Latest commit

 

History

History
112 lines (73 loc) · 9.81 KB

Lectures.md

File metadata and controls

112 lines (73 loc) · 9.81 KB

List of lectures for EECS 545 W16

Lecture 03: convex-functions-optimization

Lecture 04: linear-regression-part1

Lecture 05: linear-regression-part2

Lecture 06: bayesian-lr-gaussian-processes

Lecture 07: logistic-regression-perceptron

Lecture 08: NaiveBayes-GDA-LDA

Lecture 09: kernel-methods

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

Lecture 19: pca_ica

Lecture 20: mds_nldr

Lecture 22: neural-networks-part1

Lecture 23: neural-networks-part2

Lecture 24: decision_trees_bagging_boosting