CSE 471 | Machine Learning
Spring 2019 (Metropolitan University)
Machine Learning: A Probabilistic PerspectiveKevin P. Murphy (Author)
Instructor: Arif Ahmed
arif-cse AT metrouni DOT edu DOT bd
Arif Ahmed
| Week | Topic | Reading |
|---|---|---|
| 1-2 | Introduction | Slide |
| Regression Analysis | ||
| Gradient Descent Algorithm | ||
| 3 | Linear Regression with Multiple Features | Slide |
| Gradient Descent for Multiple Variables | ||
| 4-5 | Logistic Regression | Slide |
| 6 | Regularization | Slide |
| 7-8 | Neural Networks-Representation | Slide |
| Neural Networks-Learning | Slide | |
| 9 | Support Vector Machines- (SVMs) | Slide |
| 10 | Dimensionality Reduction (PCA) | Slide |
| 11 | Anomaly Detection | Slide |
| 12 | Recommender Systems | Slide |