Machine Learning
Neural networks slides in the University of Montreal
Autoregressive Generative Modelsslides in the University of Montreal
Probabilistic machine learning:Bayesian Time Series Learning with Gaussian Processes
Probabilistic machine learning:Probabilistic Machine Learning for Civil Engineers Course Slid (by James-A. Goulet)Video
Probabilistic machine learning:Machine Learning: A Probabilistic Perspective(by Kevin P. Murphy)
Basic Theory of machine learning:Mathematics for machine learning
Decision Theory: Sequential Decisions tutorial
Probabilistic Machine Learning: An Introduction Kevin Patrick Murphy.
Implementation of machine learning:Diffusion Model(知乎)
Code0(Theory): What are Diffusion Models?
Code1(Kaggle): Learn Diffusion models with DiffusionFastForward.
Code2(Github):guided-diffusion.
Diffusion(Mila):tutorials-codes.
Image generation model: VAE Model
Understanding Variational Autoencoders: VAEs
Understanding Deep Learning Simon J.D. Prince
Gaussian Processes for Machine LearningGaussian Processes for Machine Learning book,Gaussianprocess codes,example ,Introduction
Deep learning applaction Dive into Deep Learning
RL — Inverse Reinforcement LearningInverse Reinforcement Learning
>Hidden Markov ModelHidden Markov Mode
Learning Theory from First Principles
DCGAN Tutorial
Probabilistic Machine Learning: Advanced Topics
Taming nonconvexity in policy optimization
A Vision of Linear Algebra
Understanding LSTM Networks
Second Symposium on Machine Learning and Dynamical Systems
Deep Learning
Reinforcement Learning
Reinforcement Learning
强化学习的数学原理
,强化学习导论
Course in Poly of Montreal
Reinforcement-ebook
Chinese tutorial
Causal Reinforcement learning
#### Bayesian Theory
<a href="https://yxnchen.github.io/research/%E5%8F%98%E5%88%86%E8%B4%9D%E5%8F%B6%E6%96%AF%E6%8E%A8%E6%96%AD%E7%AC%94%E8%AE%B0/#%E5%8F%98%E5%88%86%E8%B4%9D%E5%8F%B6%E6%96%AF%E6%8E%A8%E6%96%AD"</a>贝叶斯变分推断
#### Gaussian Processes for Machine Learning
Gaussian Processes for Machine Learning Ebook
Gaussian processes in matlab,GPML Matlab Code version
#### Spatio-temporal data mining
python for data science and machine learning bootcamppython for data science and machine learning bootcamp
Time series data predicted by hankel: from xinyu's github page
Data Visualisation: Data Visualisation
Dynamic system model Dynamic system model
Data deniose algorithms Denoising algorithms
Data vision method Matplotlib
Anomaly detection: Anomaly detection
#### Machine Learning Theory and Implementation
Yotube courseUnderstanding machine learning: from theory to algorithms
#### Causality Discovery and Calusal Inference
Theory:Causal inference-whta if，James M. Robin）
Theory:Causality inference introduce slide
Theory:Causal Inference in Statistics：A Primer
Course:Introduction to Causal Inference
Dynamic Causality Inference:Time Series Causal Inference
Dynamic bayesian network: Bynamic bayesian network codes
Causality inference implementation:Bayesian network in R
Causality inference by time series data:Exploratory Causal Analysis with Time Series Data
Causality inference tutorial in R Blearn(知乎), Tutorials
Causality inference tutorial In R Blearn(chineae)
Causality inference in stata Causality in stata
Granger Causality inference introduction about the Granger causality
Dynamic causality inference tigramite
Causality video in Mila Video
Review of the Granger causality review of the Granger causality
Good blog about the dynamic causality water blog
Causality inference by time series PCMCI Time series book
Causality ebookJUDEA PEARL - CAUSALITY
#### Python book
Python ebookPython basic ebook
#### Good book
Best book Math book
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