Mind Map of

Notes

Machine Learning

From the very Basic Python Programing to very recent research papers. This collection of notes is meant to act as a Digital Garden of carefully curated, interconnected notes.


Prerequisite

Basic Python, Linear Algebra, Statistics, Probability, Calculus and Optimization

Basics

Basic ML Definations, Concepts and a Beginner Project

Classic ML

Decision Theory, Information Theory, Linear Models, Non Parametric, Neural Networks and more

Mordern ML

Monte Carlo, Bayesian Neural Networks, Generative Models, Discovery Methods, Reinforcement Learning and more

Research Papers

All major papers since 2010

In Progress

Notes currently been worked on

Current Subject

Machine Learning

Upcoming Note

Feed Forward Network

Last Update

14th Jan 2026