## Courses

##### 2022

- Machine Learning (JAN) [Course webpage]
- Measure Theoretic Probability (JAN) [Course webpage]

##### 2021

- Machine Learning (FEB) [Course webpage]

##### 2020

- Machine Learning (JAN) [Course webpage]

##### 2019

- Machine Learning (JAN) [Course webpage]

##### 2018

- Machine Learning (JAN) [Course webpage]
- Spectral Algorithms (JAN) [Course webpage]

##### 2017

- Machine Learning (JAN) [Course webpage]

##### 2016

- Probability and Statistics (AUG) [Course webpage]
- Deep Learning (JAN)

##### 2015

- Probability and Statistics (AUG) [Course webpage]

##### 2014

- Probability and Statistics (AUG) [Course webpage]

##### 2013

- Probability and Statistics (AUG)
- Theory of Probability and Information (with Prof. Shalabh Bhatnagar) (JAN) [Information]

##### 2012

- Information Theory, Inference and Learning Algorithms (AUG) [Information]

##### 2011

- Information Theory, Inference and Learning Algorithms (AUG)

##### 2010

- Information Theory, Inference and Learning Algorithms (AUG)
- Probability and Statistics (with Dr. Indrajit Bhattacharya) (AUG)

##### 2009

- Information Theory and Statistical Inference (with Prof. Rajesh Sundaresan) (JAN)
- Linear Algebra and Probability (with Prof. D. P. Patil) (AUG)