Visualizing the simple yet powerful Stein gradient for sampling (with notebook)

Everything you need to know to get started with Policy Gradient Algorithms for Reinforcement Learning

A summary of recent work on theoretical bounds for SGD

Understanding and visualizing Bayesian concepts

A quick introduction to writing your first data loader in PyTorch

Summary of terminologies in Confusion Matrix

Learn how to 'mathemagically' compute derivates in Machine Learning