Mathematics Overview

Aug 6, 2020Last updated: May 12, 2021
Overview inmath

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.


Jun 13, 2021Machine Learning coursesML & Stats inmath
Jun 1, 2021Topics in Bayesian Machine LearningML & Stats inmath
May 12, 2021Mathematics OverviewOverview inmath
May 9, 2021The Gaussian CheatsheetML & Stats inmath
Dec 28, 2020The Gibbs distribution and general BayesML & Stats inmath
Nov 17, 2020Why is Bayesian inference hard?ML & Stats inmath
Nov 13, 2020Machine Learning literatureML & Stats inmath
Nov 10, 2020IntegraphsUncategorized inmath
Oct 18, 2020Topics in Numerical Linear AlgebraLinear Algebra inmath
Sep 28, 2020Orthogonal projectors and linear regressionLinear Algebra inmath
Aug 30, 2020Discovering Taylor series the hard wayLinear Algebra inmath
Aug 26, 2020Machine Learning Talks & WorkshopsML & Stats inmath
Aug 24, 2020Linear Algebra Done RightLinear Algebra inmath
Aug 23, 2020ML FragmentsResearch inmath
Jul 10, 2020An Introduction to Epipolar GeometryComputer vision inmath
Jul 5, 2020RL: Tricks of the TradeResearch inmath
Feb 2, 2020Deriving the Cross Entropy MethodReinforcement learning inmath
Mar 17, 2019The Stein GradientML & Stats inmath
May 21, 2018Policy Gradients in a NutshellReinforcement learning inmath
Feb 6, 2018When does SGD work well?ML & Stats inmath
Dec 4, 2017The beauty of Bayesian LearningML & Stats inmath
Oct 15, 2017Visualizing the Confusion MatrixML & Stats inmath
Oct 8, 2017The magic of Automatic DifferentiationML & Stats inmath
Jul 18, 2017A Primer on Projective GeometryComputer vision inmath
Jun 24, 2017Introduction to RANSACComputer vision inmath

© 2021 Sanyam Kapoor