Learning

Disclaimer: these are my own notes, intended as a learning opportunity and for use as a quick reference. Many notes are woefully incomplete. Don’t judge :)

• Approximations, Techniques, Miscellaneous
• Associative Memory
• Bayesian Nonparametrics
• Bayesian Optimization
• Calculus
• Computer Graphics
• Convex Analysis
• Deep Learning
• Differential Equations
• Dynamical Systems and Control
• Functional Analysis
• Generative Modeling
• Inequalities
• Information Theory
• Kernel Methods
• Linear Algebra
• Machine Learning
• Natural Language Processing
• Neural Computation
• Numerical Methods
• Optimization
• Probability
• Probabilistic Graphical Models
• Programming Languages
• Randomized Algorithms
• Real Analysis
• Reinforcement Learning
• Self-Supervised Learning
• Signals
• Statistical Mechanics
• Statistical Learning Theory
• Statistics
• Stochastic Processes
• Theory of Computation

On less mathematical topics

• Book Summaries
• AI Awakening