AML (CS60073)

Welcome to Advanced Machine Learning (AML) CS60073.

Over the coming semester we will be learning about machine learning from a probabilistic point of view leading to latest state-of-the-art models. Here is a list of topics that will be covered (links are to IITKGP CSE internal moodle)

• Basics of Probability 

• Probabilistic Bayesian Modeling 

• Probabilistic Supervised Learning 

• Gaussian Processes 

• Latent Variable Models & Expectation Maximization 

• Variational Inference 

• Sampling Methods 

• VAE and GAN

• Diffusion Models

• Large Language Models

References

• Kevin Murphy, Probabilistic Machine Learning: An Introduction

• Kevin Murphy, Probabilistic Machine Learning: Advanced Topics

• Christopher Bishop, Pattern Recognition and Machine Learning

• Christopher Bishop and Hugh Bishop, Deep Learning: Foundations and Concepts

• Probabilistic Machine Learning, Piyush Rai, IITK (https://www.cse.iitk.ac.in/users/piyush/courses/pml_spring25/pml.html)