Lecture Notes

Lecture Slides 1

Lecture Slides 1 covers Machine Learning Basics

Lecture Slides 2

Lecture Slides 2 covers ML methods for regression

Lecture Slides 3

Lecture Slides 3 covers ML methods for classification

Lecture Slides 4

Lecture Slides 4 covers fully connected neural network

Lecture Slides 5

Lecture Slides 5 covers CNN

Lectrure Slides 6

Lecture Slides 6 covers RNN

Lectrure Slides 7

Lecture Slides 7 covers Transformer

Lectrure Slides 8

Lecture Slides 8 covers Large Language Model

Class Requirements

Final Report (100%)

Each student needs to turn in one proposal stating how they can apply these machine learning models to their current research. (2-3 pages, Times New Roman, 12pt, 1.5 line space)

Please submit your proposal to my email: [email protected]