This is a summary post
video
The article is mainly based on the whiteboard derivation video of the boss of bee station shuhuai008: the homepage of station B of the boss
notes
Whiteboard Derivation Series Notes (1)-Introduction
Whiteboard Derivation Series Notes (2)-Mathematical Foundation
Whiteboard Derivation Series Notes (3)-Linear Regression
Whiteboard Derivation Series Notes (4)-Linear Classification
Whiteboard Derivation Series Notes (5)-Dimensionality Reduction
Whiteboard Derivation Series Notes (6)-Support Vector Machine
Whiteboard Derivation Series Notes (7)-Nuclear Method
Whiteboard Derivation Series Notes (8)-Exponential Family Distribution
Whiteboard Derivation Series Notes (9)-Probability Graph Model
Whiteboard Derivation Series Notes (10)-Expectation Maximum Algorithm
Whiteboard Derivation Series Notes (11)-Gaussian Mixture Model
Whiteboard Derivation Series Notes (12)-Variational Inference
Whiteboard Derivation Series Notes (13)-Markov Chain Monte Carlo Method
Whiteboard Derivation Series Notes (14)-Hidden Markov Model
Whiteboard Derivation Series Notes (15)-Kaman Filter
Whiteboard Derivation Series Notes (16)-Particle Filter
Whiteboard Derivation Series Notes (17)-Conditional Random Field
Whiteboard Derivation Series Notes (18)-Gaussian Network
Whiteboard Derivation Series Notes (19)-Bayesian Linear Regression
Whiteboard Derivation Series Notes (20)-Gaussian Process
Whiteboard Derivation Series Notes (21)-Restricted Boltzmann Machine
Whiteboard Derivation Series Notes (22)-Spectral Clustering
Whiteboard Derivation Series Notes (23)-Feedforward Neural Network
Whiteboard derivation series notes (twenty-four)-face the partition function
Whiteboard Derivation Series Notes (25)-Approximate Inference
Whiteboard Derivation Series Notes (26)-sigmoid belief network
Whiteboard Derivation Series Notes (27)-Deep Belief Network
Whiteboard Derivation Series Notes (28)-Boltzmann Machine
Whiteboard Derivation Series Notes (29)-Deep Boltzmann Machine
Whiteboard Derivation Series Notes (Thirty)-Overview of Generative Models
Whiteboard Derivation Series Notes (Thirty One)-Generative Adversarial Network
Whiteboard Derivation Series Notes (32)-Variational Autoencoder
Whiteboard Derivation Series Notes (Thirty-three)-Flow Model
Whiteboard Derivation Series Notes (34)-Markov Decision Process (Reinforcement Learning)
Whiteboard Derivation Series Notes (35)-Dynamic Programming (Reinforcement Learning)