I have collected some classic introductory materials in the field of artificial intelligence, wishing you a happy learning (continuously updated)
- Basics of Machine Learning
- Basics of Deep Learning
- Computer Vision
- Natural Language Processing
- Voice recognition
- Graph Neural Network
- Recommended system
- Interview information
Basics of Machine Learning
- "PRML Pattern Recognition and Machine Learning" Christopher Bishop Extraction Code: 3i7c
- "Machine Learning" Tom M.Mitchell Extraction Code: bkkl
- "Practical Machine Learning" Peter Harrington Extraction Code:ieku
- "Machine Learning A Probabilistic Perspective" Kevin P·Murphy Extraction Code: 8iw0
- "Maching Learning Yearning" Ng's Extraction Code: uffd
- "Machine Learning" Watermelon Book Zhou Zhihua Extraction Code: 5awr
- "Statistical Learning Methods" Lanbao Shu Li Hang Extraction Code: c9co
- "Machine Learning Practical Hands on Maching Learning" Aurélien Géron Extraction Code: q3sk
- Machine learning algorithm map extraction code: 2pj3
- Stanford Machine Learning Course CS229 Ng, Handouts, Note Extraction Code: 8ipf
Basics of Deep Learning
- "Deep Learning" Flower Book English version Ian Goodfellow/Yoshua Bengio/Aaron Courville Extraction code:nau1
- "Deep Learning" Chinese version of Huashu Ian Goodfellow/Yoshua Bengio/Aaron Courville Extraction code: co7d
- "Neural Networks and Deep Learning" Michael Nielsen Extraction Code: ujuh
- "Hand-On Deep Learning" Li Mu Extraction Code: 5aor
- "Neural Networks and Deep Learning" Qiu Xipeng Extract Code: lvoi
- "Tensorflow Practical Google Deep Learning Framework" Zheng Zeyu Extract Code: mjn3
- Stanford Deep Learning Course CS230 Enda Ng
- Li Hongyi, Deep Learning Course at Taiwan University
Computer Vision
- Stanford Computer Vision Course CS231n Feifei Li
- Beihang University Settlement and Visual and Deep Learning Lu Peng
- "Image Processing, Analysis and Machine Vision" Extraction Code: d1gr
Natural Language Processing
- "Statistical Natural Language Processing" Zong Chengqing Extraction Code: ggra
- "Python Natural Language Processing" Extraction code: mu6g
- Stanford Natural Language Processing Course CS224n Christopher Manning
- Li Hongyi, a natural language processing course at Taiwan University
Voice recognition
- Li Hongyi, Deep Learning Speech Recognition Course at Taiwan University
Graph Neural Network
- Deep Learning on Graphs
- Graph Representation Learning
- "A Practical Guide to Graph Neural Networks"
- Deep Learning for Learning Graph Representations
- "Summary of Graph Convolutional Neural Networks" Chinese Academy of Sciences
- "In-depth and easy-to-understand graph neural network: Analysis of GNN principle" Liu Zhongyu/Li Yanlin/Zhou Yang
- Penn GNN course Alejandro Ribeiro
Recommended system
- "Collective Intelligent Programming Toby Segaran Extraction Code: jl2o
- "Recommended System Practice" Xiang Liang
- "Deep Learning Recommendation System" Wang Zhe
Interview information
- "Baifang Machine Learning: Algorithm Engineer takes you to interview Zhuge Yue/Culhuwa Extraction Code: so1n
- "Step by the offer" by interviewer of famous companies, He Haitao Extracts Code: vqvu
- "LeetCode Question Solution" Extraction Code: 12fc
Introduce yourself
My name is rumor. I am a girl who works in AI. Her main business is NLP. I currently want to learn CV and various things. I usually share AI information and fun daily life on Zhihu/WeChat. Welcome to follow my official account "Li rumor" to learn and bring you your liver, and spin and jump and blink in the era of artificial intelligence~
Disclaimer
All the above information comes from the compilation of other people on the Internet. I have just collected and sorted out their links here. If there is any infringement, you can contact me through wx "leerumorrr" and I will delete it immediately.
