Other

This is where I’ll be posting my favourite books and other learning materials that greatly helped me in learning certain topics.

Mathematics

• Imperial College London’s Mathematics for Machine learning specialisation teaches newcomers the (higher-level) basics in calculus and linear algebra before showing how these are applied in Neural Networks, K-Means and Principal Component Analysis.

Reinforcement Learning

• Sutton & Barto’s Reinforcement Learning: An Introduction

• If you prefer video materials: David Silver’s lectures at UCL based on the same book

• On coursera: Based on the same book, with coding assignments and quizzes: University of Alberta’s Reinforcement Learning specialization

Optimisation

• Convex Optimisation: Stephen Boyd’s Stanford lectures on Convex Optimisation I and II based on Vandenberghe and Boyd’s book. Boyd is a charismatic and funny teacher, who can seamlessly elucidate some of the more dense material of the field while also teaching a thing or two about control theory.