CSC 735 Machine Learning and Data Mining
▪ 01-26:
Syllabus
AI vs ML vs DL vs DS
AI vs ML vs DL vs LLM vs GenAI
The Machine Learning Landscape
Textbook Exercises — Chapter 1
▪ 02-02:
Linear Regression
▪ 02-09:
Logistic Regression
▪ 02-23:
Zoom Meeting ID:
527 497 8200
▪ 03-02:
Support Vector Machines
▪ 03-09:
Desicion Trees
Ensamble Learning
▪ 03-16:
Review I
▪ 03-23:
Midterm Exam
▪ 04-13:
Neural Networks — Intro
Neural Networks — Intro — Examples
Neural Networks — Logistic
Neural Networks — Softmax
Neural Networks — Multilayer
Neural Networks — Matrices
Neural Network (Video)
Code
Convolutional Neural Networks — Intro
Convolutional Neural Networks — Structure
Convolutional Neural Networks — Filters
Recurrent Neural Networks — Neurons and Layers
Recurrent Neural Networks — Equations and Structures
Recurrent Neural Networks — Encoder-Decoder
▪ 04-13:
Review II
▪ 04-20:
Autoencoders, GANs, and Diffusion
▪ 04-27:
Reinforcement Learning I
Reinforcement Learning II
Reinforcement Learning III
Reinforcement Learning IV