Basic course of artificial intelligence (graphic version) (continuously updated, recommended collection)

1- General knowledge of artificial intelligence

General Studies | Three Ups and Two Downs: The Spiral Development of Artificial Intelligence
https://mp.weixin.qq.com/s/Oxx5i3dMcg7wkdQVS2fR8Q

Tools | Introduction and installation of AI common programming tools: Anaconda, Python, Jupyter, PyCharm, PyTorch, TensorFlow
https://mp.weixin.qq.com/s/oTcZRHUKvG9Bml0Z5bS0mw

2- Machine Learning Basics

2.1 Linear regression

2.2 Logistic regression

2.3 Bayesian and EM

Case | It is not difficult to do the Bayesian question
https://mp.weixin.qq.com/s/k9ri0Qbw98KAbS06vshS_Q

2.4 Support Vector Machine

2.5 KNN and K-means

Analysis | The difference between k-means and k-NN
https://mp.weixin.qq.com/s/ffmvs5a3Bdj9_ZKH_Fcvhw

2.6 PCA and LDA

2.7 Decision tree, random forest, ensemble learning

Analysis | Ultra-detailed decision tree algorithm analysis—ID3, C4.5, CART
https://mp.weixin.qq.com/s/Pgvxt4_P-6maCi9o6Fp9fA

Analysis | The most commonly used decision tree algorithm! Random Forest, Adaboost, GBDT
https://mp.weixin.qq.com/s/Ldjl2EozxW2pRH8F4N9H6Q

Overview| Competition Killer: Tree Model and Integrated Learning
https://mp.weixin.qq.com/s/d85sPxgQ3yW8xWveROhlrw

Principle | Detailed explanation of XGBoost
https://mp.weixin.qq.com/s/38RZ4T3mkX1wKXugw7MoHg

Analysis | XGBoost and LightGBM, the most mainstream integration algorithm in the project!
https://mp.weixin.qq.com/s/5HAwL6He9x7t_QwqK34t2w

Actual combat | Machine learning tree model tool XGBoost actual combat illustration
https://mp.weixin.qq.com/s/HWnIHrnmdqinNJWjjSjLvA

3- Deep Learning Basics

3.1 Neural Network Basics

Hands-on | Implement a neural network from scratch
https://mp.weixin.qq.com/s/lk12kP2fbuSBSV5lSFKTlA

3.2 Convolutional Neural Network

3.3 Recurrent Neural Network

Analysis | LSTM internal structure - I fully understand
https://mp.weixin.qq.com/s/ZEkNSqMdXYnSJw_XTBW8Tg

4- Advanced Deep Learning

Overview | From Sigmoid to GELU, an overview of neural network activation functions
https://mp.weixin.qq.com/s/4bxgnewiBPuChLb1tLizGA

Analysis | Introduction to Deep Learning Optimization: Momentum, RMSProp and Adam
https://mp.weixin.qq.com/s/HpSNVmVyGK70hDNlMWDlSw

Analysis | Generative Adversarial Network Principles and Practice
https://mp.weixin.qq.com/s/NXZPQkpuK_11Ptbb193_GA

Overview | Summary about Attention
https://mp.weixin.qq.com/s/t9wjiUnmxUL49AAuhxYjBg

Analysis | Easy to understand and detailed explanation of attention mechanism (Attention)
https://mp.weixin.qq.com/s/hfz726Rk-0KsmfOr6DtbVg

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Origin blog.csdn.net/sh_0001/article/details/128201712