Fall 2017:

CS 8850

Machine Learning

Lecture Notes

Topic 1: Review of Linear Algebra

Topic 2: Review of Probability Theory

Topic 3: Hypothesis Testing

Topic 4: Parameter Estimation

Topic 5: Generalized Likelihood Ratio Test

Topic 6: Bayesian Inference

Homeworks

Homework 1: Linear Algebra

data_2D.mat

data_3D.mat

iris_data.mat

Homework 2: Probability

Homework 3: Hypothesis Testing

brain_data1.mat

brain_data2.mat

Homework 4: Hypothesis Testing and Paramter Estimation

Homework 5: Parameter Estimation

Homework 6: Create your own HW

Homework 7: Project Proposal

Homework 8: GLRT

thumb_data.mat

thumb_test.m

© Daniel Pimentel-Alarcón