Course timings 1800-1850 MWF
First course handout for CS771 is here
Please see this FAQ regarding course registration and conduct policies.
CS771 classes will be held over Zoom . Recordings of the class will be accessible on hello@IITK shortly after the class. People interested in auditing the course are welcome to attend the live classes. The link should suffice to enter the meeting room, but if a passcode is needed, use 219141.
| Lecture date | Topics covered | Materials |
| Aug 2 | Introduction, course logistics, core concepts | Slides |
| Aug 4 | Data and features | Slides |
| Aug 9 | Learning with prototypes | Slides |
| Aug 11 | Exotic distances, nearest neighbors | Slides |
| Aug 13 | Demo: LwP | Code |
| Aug 16 | Sources of error | Slides |
| Aug 18 | Learning Decision Trees | Slides |
| Aug 20 | Demo: Decision Tree Learning | Code |
| Aug 23 | Linear Regression | Slides |
| Aug 25 | Optimization | Slides |
| Aug 27 | Quiz 1 | Assignment 1 |
| Sep 03 | Optimization (contd.) | Slides |
| Sep 06 | Probability Basics | Slides |
| Sep 08 | Expectations and MLE | Slides |
| Sep 10 | Midsem Review | Assignment 1, Grading rubric |
| Sep 20 | MAP and Bayesian estimation | Slides |
| Sep 22 | Probabilistic linear regression | Slides |
| Sep 27 | Logistic regression & MCMC sampling | Slides |
| Sep 29 | Perceptron & SVMs | Slides |
| Oct 1 | Demo: Logistic Regression and SVM | Code |
| Oct 6 | Evaluation & fairness | Slides |
| Oct 8 | ML in the real world | Slides(pdf) |
| Oct 18 | The kernel trick | Slides(pdf) |
| Oct 20 | Kernelizing ML algorithms | Slides(pdf) |
| Oct 25 | Quiz 2 | - |
| Oct 27 | k-means | Slides(pdf) |
| Nov 01 | k-means extensions, evaluation | Slides(pdf) |
| Nov 03 | PCA | Slides(pdf) |
| Nov 08 | Dimensionality Reduction (contd.) | Slides(pdf) |
| Nov 10 | Latent variable models | Slides(pdf) |
| Nov 12 | Latent variable models | Slides(pdf) |
| Nov 15 | Deep learning | Slides(pdf) |
| Nov 17 | More deep learning | Slides(pdf) |
| Nov 19 | VAEs and GANs | Slides(pdf) |
(Aug 2 2021) Hello and welcome to CS771.