A collection of mathematical notes about various machine-learning related topics. Supervised Learning Dangers of L2 loss Causality and its implications for supervised learning Probability and Information Theory Decomposition of uncertainty into aleatoric and epistemic terms Reinforcement Learning The Applicability Limits of Rejection-Sampling Fine-Tuning