Archives

2022

• 01 03 LeetCode - Dynamic Programming
• 21 02 Variational Inference
• 21 02 Expectation Maximization
• 21 02 Bayesian Gaussian Mixture Model - Variational Inference
• 21 02 Gaussian Processes
• 21 02 Gaussian Mixture Model
• 21 02 Sampling Methods
• 21 02 Markov Chain Monte Carlo
• 21 02 Markov Chain
• 21 02 Hidden Markov Model
• 20 02 Dual Representations of Linear Models
• 20 02 SVM for Regression
• 20 02 SVM for classification
• 20 02 Probabilistic Generative Model
• 20 02 Probabilistic Discriminative Models
• 20 02 Discriminant Analysis
• 20 02 Graphical Models
• 20 02 Proximal Gradient Method
• 20 02 Probabilistic PCA
• 20 02 Principal Component Analysis
• 20 02 Kernel PCA
• 20 02 Factor Analysis
• 20 02 Bayesian PCA
• 20 02 Bayesian Linear Regression (Single Output)
• 20 02 Bayesian Linear Regression (Multiple Outputs)
• 20 02 Bayesian Inference for Gaussian

2021

• 20 02 Gaussian-Gamma Distribution
• 20 02 Gaussian Distribution (3)
• 20 02 Gaussian Distribution (2)
• 20 02 Gaussian Distribution (1)
• 20 02 Gamma Distribution
• 20 02 Dirichlet Distribution
• 20 02 Beta Distribution
• 20 02 Bernoulli and Binomial Distribution
• 20 02 A Quick Look of Discrete Distribution
• 20 02 A Quick Look of Continuous Distribution
• 20 02 Probaility Theory
• 20 02 Conjugate_priors
• 20 02 Bayes' Theorem for Gaussian Variables
• 20 02 Information Theorem
• 20 02 Bitwise_operator
• 20 02 什么是P问题、NP问题和NPC问题