803 B
803 B
Course Overview
This course covers the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and reinforcement learning. The course is divided into 12 lectures, each lasting 90 minutes.
Assignment 1
The first assignment is due on August 31, 2026. It requires you to implement a simple linear regression model and evaluate its performance.
Lecture Schedule
| Lecture | Topic |
|---|---|
| 1 | Introduction to ML |
| 2 | Data Preprocessing |
| 3 | Linear Regression |
| 4 | Logistic Regression |
| 5 | Decision Trees |
| 6 | Random Forests |
| 7 | Support Vector Machines |
| 8 | Neural Networks |
| 9 | Convolutional Neural Networks |
| 10 | Recurrent Neural Networks |
| 11 | Reinforcement Learning |
| 12 | Project Presentations |