CS 4320: Machine Learning

Spring 2024 Schedule

Day	Topic	Reading	Work Due
Jan 9
Jan 11
W01	Introduction to Machine Learning
W01	Working with data collections
W01	Visualizing data


H Jan. 15	Martin Luther King Jr. Day (no classes)
Jan 16			Assignment 1
Jan 18
W02	Regression Models
W02	Gradient Descent


Jan 23			Assignment 2
Jan 25
W03	Data Processing Pipelines
W03	Intro to Neural Networks
W03	Perceptrons
W03	Multilayer Perceptrons
W03	Back-propogation


Jan 30			Assignment 3
Feb 1
W04	Neural Networks with Tensorflow and Keras
W04	Classification
W04	Performance Measures/Confusion Matrix
W04	Decision Trees


Feb 6			Assignment 4
Feb 8
W05	Cross-Validation
W05	Bias vs Variance
W05	Error Analysis
W05	Loss Functions
W05	Regularization
W05	Learning Curves


Feb 13			Assignment 5
Feb 15
W06	Hyper-parameter searches
W06	Support Vector Machines


H Feb. 19	President’s Day (no classes)
Feb 20			Assignment 6
Feb 22
W07	Ensembles
W07	Forests
W07	Boosting
W07	Neural Networks for Classification


Feb 27			Assignment 7
Feb 29
W08	Action Policies
W08	Value Iteration
W08	Markov Chains
W08	Markov Decision Process
W08	Q-Values
W08	Temporal Difference Learning


Mar 5			Assignment 8
Mar 7
W09	Temporal Difference Q-Learning

H Mar 11-15	Spring Break (no classes)

Mar 19			Assignment 9
Mar 21
W10	Neural Networks
W10



Mar 26			Assignment 10
Mar 28
W11	Neural Networks
W11


Apr 2			Assignemnt 11
Apr 4
W12	Neural Networks
W12


Apr 9			Assignment 12
Apr 11
W13	Neural Networks
W13


Apr 16			Assignment 13
Apr 18
W14	Neural Networks
W14


Apr 23			Assignment 14
W15	Neural Networks
W15

Apr 25	Last Day of Classes
Apr 26	Reading Day (no classes)

			Assignment 15
Apr 30	Final Exam 9:00 am - 10:50 am		Final Exam

Class announcements may modify schedule from that listed above.

Last Updated 01/08/2024