AI Shiksha
Introduction to Machine Learning
Classes will be held on Tuesdays, Thursdays and Saturdays from 5-6 pm followed by interaction/questions till 6:30pm
| Date | Topic | Instructor | |
|---|---|---|---|
| Week 1 | 09-March-2021 | Supervised learning - intro + k-Nearest Neighbors | Dr. Clint P George |
| 11-March-2021 | Linear regression | ||
| 13-March-2021 | Extensions of linear regression + polynomial curve fitting | ||
| Week 2 | 16-March-2021 | Linear models for classification, the Perceptron algorithm | |
| 18-March-2021 | Logistic regression | ||
| 21-March-2021 | Optimization algorithms: Gradient Descent, Newton’s method | ||
| Week 3 | 23-March-2021 | Machine learning in practise: training, overfitting, underfitting, bias variance tradeoff | Dr. Satyanath Bhat |
| 25-March-2021 | SVM Overview | ||
| 27-March-2021 | Decision trees, random forests | ||
| Week 4 | 30-March-2021 | Unsupervised learning - intro | |
| 01-April-2021 | PCA | ||
| 03-April-2021 | Kernel PCA | ||
| Week 5 | 06- April-2021 | K-Means | Dr. Arun Rajkumar |
| 08-April-2021 | Maximum Likelihood estimation | ||
| 10-April-2021 | Gaussian Mixture Models | ||
| Week 6 | 13-April-2021 | EM Algorithm and variants | |
| 15-April-2021 | Spectral Clustering | ||
| 17-April-2021 | Intro to Online Machine Learning | ||
| Week 7 | 20-April-2021 | Intro to Multi-armed Bandits/ RL | |
| 22-April-2021 | Wrap up/Additional day |