Spring 2024:
CS 760
Machine Learning
Lectures: M/W/F, 9:30-10:45am:
BIRGE 145
Office Hours: Wednesday 11am at WID Atrium, or by appointment.
TA's OH: Ben Jacobsen: Monday 1-2pm, CS3205
Shutong Wu: Friday 2:30-3:30pm, CS3266
Lecture Materials
Topic 1: Overview
Topic 2: Review of Linear Algebra
Topic 3: Review of Probability
Topic 4: Review of Optimization
Topic 5: Linear Regression
Topic 6: Logistic Regression
Topic 7: Cross-Validation
Topic 8: Decision Trees
Topic 9: Nearest Neighbors
Topic 10: Bayesian Learning
Topic 11: Support Vector Machines
Topic 12: Neural Networks
Homework
Homework 1: Review
Homework 2: Linear Regression
Homework 3: Logistic Regression
titanic_data.csv
Homework 4: Decision Trees
Homework 5: Nearest Neighbors & Naive Bayes
Homework 6: Frequentists vs Bayesians
Homework 7: Presentation
New Topic Notes
Instructions
Notes_Template.tex
Topics List & Schedule (opens February 28th at 1:30pm)
© Daniel Pimentel-Alarcón