This is the overview page for area Mathematics.
Mathematics is the language of nature. Or at least the best thing that humans have at disposal to understand nature. This is a collection of posts around computer science, machine learning, reinforcement learning and other research-y topics I am involved in.
Bayesian Machine Learning ML & Stats in math
Discovering Taylor series the hard way Linear Algebra in math
Machine Learning courses ML & Stats in math
Machine Learning Talks & Workshops ML & Stats in math
Topics in Numerical Linear Algebra Linear Algebra in math
Machine Learning literature ML & Stats in math
Linear Algebra Done Right Linear Algebra in math
ML Fragments Research in math
Introducing VAR-GPs ML & Stats in math
On model interpretability and explainability Research in math
An Introduction to Epipolar Geometry Computer vision in math
RL: Tricks of the Trade Research in math
Research Workshops Research in math
The Gibbs distribution and general Bayes ML & Stats in math
The Gaussian Cheatsheet ML & Stats in math
Deriving the Cross Entropy Method Reinforcement learning in math
The Stein Gradient ML & Stats in math
Policy Gradients in a Nutshell Reinforcement learning in math
When Does Stochastic Gradient Algorithm Work Well? ML & Stats in math
The beauty of Bayesian Learning ML & Stats in math
Visualizing the Confusion Matrix ML & Stats in math
The magic of Automatic Differentiation ML & Stats in math
A Primer on Projective Geometry Computer vision in math
Introduction to RANSAC Computer vision in math
Choosing the right keys Computer science in math