Talks

Recent

Markov Chain Monte Carlo

A talk on MCMC under the aegis of Special Interest Group in Machine Learning (SIGML).

Introduction to tensorflow

This talk introduces tensorflow for deep learning and explains its underlying computation methodology.

Introduction to Deep Learning

Part of introduction to deep learning lecture series, covering topics like convex cost functions and gradient descent.

Reinforcement Learning

This talk covers the terms encountered in RL and the mathematical concepts used in RL models.