Check also conference competition tracks (e.g. NeurIPS)
- Linear Algebra and Calculus refresher from Stanford Machine Learning course
- Linear Algebra Review and Reference from Stanford
- Computational Linear Algebra for Coders from fast.ai.
- Vector, Matrix, and Tensor Derivatives from Stanford.
- The Matrix Calculus You Need For Deep Learning from fast.ai.
- Probabilities and Statistics refresher from Stanford Machine Learning course
- Review of Probability Theory from Stanford.