Daniel Pimentel-Alarcón
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Fall 2020:
CS 760
Machine Learning
Spring 2020:
BMI/CS 567
Med Im An
Spring 2019:
CS 6780
Fund Data Sci
Fall 2018:
CS 4850
Intro Mach Learn
Spring 2018:
CS 6980
Intro Data Sci
Fall 2017:
CS 8850
ML Theory
Lectures:
Monday, Wednesday 10:00am-11:45am, Aderhold Learning Center 330.
Office Hours:
Monday 8:45am-9:45am, Wednesday 11:45am-12:45pm.
Syllabus
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