Mathematics Overview

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.

Mar 2023	Gradient Boosted Decision Trees: A Recap🔢 math
Dec 2022	Topics in Numerical Analysis🔢 math
Dec 2022	Machine Learning literature🔢 math
Apr 2022	Machine Learning courses🔢 math
Oct 2021	Elements of Learning🔢 math
Sep 2021	The Gaussian Cheatsheet🔢 math
Jul 2021	Topics in Bayesian Machine Learning🔢 math
May 2021	Mathematics Overview🔢 math
Dec 2020	The Gibbs distribution and general Bayes🔢 math
Nov 2020	Why is Bayesian inference hard?🔢 math
Sep 2020	Orthogonal projectors and linear regression🔢 math
Aug 2020	Discovering Taylor series the hard way🔢 math
Aug 2020	Linear Algebra Done Right🔢 math
Aug 2020	ML Fragments🔢 math
Jul 2020	An Introduction to Epipolar Geometry🔢 math
Jul 2020	RL: Tricks of the Trade🔢 math
Feb 2020	Deriving the Cross Entropy Method🔢 math
Mar 2019	The Stein Gradient🔢 math
May 2018	Policy Gradients in a Nutshell🔢 math
Feb 2018	When does SGD work well?🔢 math
Dec 2017	The beauty of Bayesian Learning🔢 math
Oct 2017	Visualizing the Confusion Matrix🔢 math
Oct 2017	The magic of Automatic Differentiation🔢 math
Jul 2017	A Primer on Projective Geometry🔢 math
Jun 2017	Introduction to RANSAC🔢 math