- Information Theory, Pattern Recognition and Neural Networks by David MacKay
- OCW Linear Algebra by Gilbert Strang
- UCL COMPM050/COMPGI13 Reinforcement Learning by David Silver
- Control Bootcamp by Steve Brunton
- Slotine Lectures on Nonlinear Systems by Jean-Jacques Slotine
- Statistical Reinforcement Learning by Nan Jiang
- OCW Matrix Methods in Data Analysis, Signal Processing, and Machine Learning by Gilbert Strang
- 100 Lectures on Machine Learning by Mark Schmidt
- Learning Theory from First Principles by Francis Bach
- Deep Learning Theory Lecture Notes by Matus Telgarsky
- Discrete Differential Geometry by Keenan Crane

- Introduction to Stochastic Processes - Lecture Notes by Gordan Žitković
- Measure Theory for Dummies by Maya R. Gupta