Machine Learning Course
Computer Science Faculty of Shahid Beheshti University. Winter 2023
Machine Learning is a rapidly evolving field that is currently revolutionizing the way we interact with data. Machine learning course will start off with the basics, such as introducing the fundamentals of statistics and probability. From there, students will move on to more advanced topics like linear and logistic regression, classification, clustering, deep learning, and reinforcement learning. By the end of the course, students should have a solid understanding of the various models and techniques used in machine learning and be able to apply them to real-world problems.
Lectures
| Week | Topic | |
|---|---|---|
| 1-3 | Fundamentals of Statistics and Probability | Basics of Probability |
| Various Distributions | ||
| Statistics | ||
| Hypothesis Tests | ||
| 4-5 | Regression | Linear Regression |
| Polynomial Regression | ||
| Logistic Regression | ||
| LDA | ||
| 6-8 | Model Evaluation | Cross Validation |
| Bootstrapping | ||
| Feature Selection | ||
| Regularization | ||
| 9-10 | Support Vector Machine | |
| 11-13 | Tree-Based Methods | Decision Tree |
| Ensemble Learning | ||
| Bagging | ||
| Boosting | ||
| 14-15 | Unsupervised Learning | PCA |
| Clustering | ||
| 16 | Reinforcement Learning | |