Mathematical Foundations of Machine Learning
NPTEL · Prof. Prathosh A.P. · IISc Bengaluru
Probability-first foundations of machine learning: from function approximation and classical statistical learning through neural nets, transformers, and an intro to generative models.
| Course code | NPTEL 106108841 |
| Playlist | YouTube — Mathematical Foundations of Machine Learning |
| NPTEL page | nptel.ac.in/courses/106108841 |
Lectures
| # | Topic | Materials |
|---|---|---|
| 01 | Overview of Function Approximation | Tutorial · Self-check |
| 02 | Recap of Probability Theory - 1, Part 1 | Tutorial · Self-check |
| 03 | Recap of Probability Theory - 1, Part 2 | Tutorial · Self-check |
| 04 | Recap of Probability Theory - 1, Part 3 | Tutorial · Self-check |
| 05 | Coming after you share the next lecture link |
Course references
See MFML references for textbooks and papers tied to this series.