Fall 2024
MATH 499: Mathematical Foundations of
Machine Learning
(Independent Study)
Tentative List of Topics
Week # |
Topic |
1 |
Intro; Calculus Review |
2 |
Linear Algebra Review |
3 |
Probability and Statistics Review |
4 |
The Landscape of Machine Learning |
5 |
Linear and Multiple Regression |
6 |
Polynomial and Logistic Regression |
7 – 8 |
Dimensionality Reduction; SVD and PCA |
9 – 10 |
Neural Networks: Intro; Backpropagation |
11 |
Convolutional Neural Networks |
12 |
Support Vector Machines |
13 |
Naïve Bayes Classification; Clustering |