Notes for Self-Study Purpose This repository is the latex-based notes for self-learning, mainly for math, statistics and machine learning. Knowledge Graph Obsidian Graph Obsidian 3D Graph Link to Animation Adjacency Matrix Table of Contents Boosting Methods Causal Inference Concentration Inequalities and Non-Asymptotic Analysis Deep Learning Differential Geometry Functional Analysis Information Geometry and Optimal Transport Measure Theory, Abstract Integration, Probability Theory Monte Carlo Methods Natural Language Processing Peronsal Development Probabilistic Graphical Models Reinforcement Learning Stochastic Process and Statistical Analysis in Infinite Dimensional Space Statistical Learning Theory Topology Other Topics