Courses
2024
- Machine Learning (JAN) [Course webpage]
- Measure Theoretic Probability (JAN) [Course webpage]
2023
- Machine Learning (JAN) [Course webpage]
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)