This repository accompanies a Bilibili video series on machine learning fundamentals. The series presents step-by-step white-board derivations of core ML concepts including regression, classification, dimensionality reduction, SVM, kernel methods, probabilistic graphical models, EM algorithm, GMM, variational inference, MCMC, HMM, Kalman filter, particle filter, and CRF. It aims to help beginners get started with mathematical foundations of machine learning.