- The Policy Gradient
- Langevin Sampling
- The Particle Filter
- Dynamic Programming and Optimal Control Theory
- Rotation Matrices and Change of Basis
- Teaching a GPT to Do Modular Addition
- Expectation, Covariance, and Optimal Estimators
- Vector Spaces and Linear Algebra
- The Kalman Filter
- Markov Chains and Hidden Markov Models
- The Bayes Filter in Different Contexts