【AI】人工智能课程集

Yuque优化排版：支持筛选排序寻找自己所需要的课程

这里收集了许多关于人工智能的高质量课程和教程，涵盖了

机器学习 (Machine Learning, ML)
数据挖掘 (Data Mining, DM)
数学基础 Mathematics (Math)
深度学习 Deep Learning (DL)
强化学习 (Reinforcement Learning, RL)
深度强化学习 (Deep Reinforcement Learning, DRL)
分布式机器学习 (Distributed Machine Learning, DML)
自然语言处理 (Natural Language Processing, NLP)
计算机视觉 (Computer Vision, CV)
生成式对抗网络 (Generative Adversarial Network, GAN)
图神经网络 (Graph Neural Network, GNN)
知识图谱 (Knowledge Graph, KG)
推荐系统 (Recommander System, RS)
因果推理 (Causal Inference, CI)
组合优化 (Combinational Optimization, CO)
TensorFlow
PyTorch
...

提示:

点击 课程名称 栏中的链接一般会跳转到课程主页，在那里你可以找到更多相关资料

课程名称中含有中文的一般是中文授课

最近更新	类别	方向	课程名称	机构	教师	视频	更多资源
2021	Course	NLP	CS224n: Natural Language Processing with Deep Learning	Stanford	Chris Manning, John Hewitt Head TA	BiliBili (2019)
2021	Course	GNN	CS224W: Machine Learning with Graphs	Stanford	-	Bilibili (2019)
2021	Course	RL	CS234: Reinforcement Learning	Stanford	Emma Brunskill	BiliBili
2020	Course	ML	CS229: Machine Learning	Stanford	Tengyu Ma, Andrew Ng (吴恩达), Chris Ré	BiliBili (2018)	Note
2021	Course	DL	CS230: Deep Learning	Stanford	Andrew Ng (吴恩达), Kian Katanforoosh	BiliBili (2018)
2020	Course	CV	CS231n: Convolutional Neural Networks for Visual Recognition	Stanford	Fei-Fei Li (李飞飞)	Bilibili (2019)
2019	Course	GAN	CS236: Deep Generative Models	Stanford	Stefano Ermon, Aditya Grover	Bilibili (2019)
2020	Course	DM	CS246: Mining Massive Data Sets	Stanford	Jure Leskovec	Bilibili
2020	Course	RL	CS332: Advanced Survey of Reinforcement Learning	Stanford	Emma Brunskill	-
2020	Course	KG	CS520: Knowledge Graphs	Stanford	Vinay K. Chaudhri, Naren Chittar, Michael Genesereth	BiliBili
2021	Course	Math	EE364a: Convex Optimization I	Stanford	John Duchi	-
2021	Course	DL	CS 11-785: Introduction to Deep Learning	CMU	Graham Neubig	BiliBili
2019	Course	NLP	CS 11-747: Neural Networks for NLP	CMU	-	BiliBili
2021	Course	AI	CS 188: Introduction to Artificial Intelligence	UC Berkeley	-	BiliBili
2020	Course	DL	CS 198-96: Introduction to Neurotechnology	UC Berkeley	Deven Navani	BiliBili
2020	Course	DRL	CS 285: Deep Reinforcement Learning	UC Berkeley	Sergey Levine	BiliBili
2021	Course	DL	MIT 6. S191: Introduction to Deep Learning	MIT	Alexander Amini, Ava Soleimany	BiliBili
2020	Course	AI	CS50: Introduction to Artificial Intelligence with Python	Harvard	David J. Malan	BiliBili
2020	Course	DL	Introduction to Deep Learning	TUM	Matthias Nießner	BiliBili
2020	Course	GNN	ESE 680: Graph Neural Networks	UPenn	Alejandro Ribeiro	BiliBili
2015	Course	RL	Reinforcement Learning	UCL	David Silver	BiliBili	Youtube
2020	Course	DL	Deep Learning (Pytorch)	NYU	Yann Lecun, Alfredo Canziani	BiliBili
2020	Course	AI	Course Series Including AI, BD, IR et al.	ETH Zürich	-	BiliBili
2020	Course	GAN	Generative Adversarial Networks (GANs) Specialization	DeepLearning. AI	Andrew Ng (吴恩达)	Bilibili	Code
2019	Course	AI	AI For Everyone	DeepLearning. AI	Andrew Ng (吴恩达)	bilibili
2020	Course	CO	CSC2547: Learning to Search	UofT	-	-

2021	Course	ML	大数据机器学习	THU	袁春	学堂在线
2020	Course	TensorFlow	人工智能实践：Tensorflow笔记	PKU	曹健	MOOC
2020	Course	AI	人工智能与信息社会	PKU	陈斌	MOOC
2020	Course	AI	人工智能原理	PKU	王文敏	MOOC
2020	Course	AI	人工智能：模型与算法	ZJU	吴飞	MOOC
2017	Course	ML	机器学习	ZJU	胡浩基	BiliBili
2021	Course	NLP	自然语言处理	SJTU	赵海	学堂在线
2020	Course	ML	统计计算与机器学习	SJTU	许志钦	BiliBili
2018	Course	ML	机器学习导论	SJTU	张志华	Bilibili
2021	Course	DM	数据挖掘	TJU	喻梅, 王建荣, 于健	学堂在线
2020	Course	CV	计算机视觉与深度学习	BUPT	鲁鹏	Bilibili
2020	Course	CV	计算机视觉基础	BUPT	鲁鹏	Bilibili
2021	Course	ML	Machine Learning (机器学习)	NTU	李宏毅	BiliBili	Note
2020	Course	NLP	Deep Learning for Human Language Processing (深度学习人类语言处理)	NTU	李宏毅	BiliBili
2020	Course	Math	Linear Algebra (线性代数)	NTU	李宏毅	Bilibili
2020	Course	DL	Applied Deep Learning (应用机器学习)	NTU	陈蕴侬	BiliBili
2020	Course	RL	Reinforcement Learning (强化学习)	SIT	Shusen Wang	BiliBili

2020	Tutorial	ML	机器学习: 从0到1学Tensorflow	Google	Laurence Moroney	BiliBili
2019	Tutorial	TensorFlow	Coding TensorFlow	Google	-	BiliBili
2020	Tutorial	GNN	PGL: 图神经网络7日打卡营	Baidu	-	Bilibili	Slide

2020	Tutorial	ML	有趣的机器学习	Individual	莫烦Python	BiliBili
2021	Course	ML	机器学习-白板推导系列	Individual	Shuhuai	BiliBili	Note
2019	Course	ML	菜菜的机器学习sklearn	Individual	菜菜TsaiTsai	BiliBili	Code
2020	Course	CI	Introduction to Causal Inference	Individual	Brady Neal	BiliBili
2020	Tutorial	TensorFlow	TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial	freeCodeCamp	Tim Ruscica	BiliBili

2019	Lecture	GNN	图形图像学科前沿研习班：图神经网络专题	中国图象图形学学会	唐杰, 崔鹏, 石川, 严骏驰	Bilibili	Silde (密码: w6vg)
2020	Workshop	GNN	图表示学习和图神经网络的最新理论进展和应用	BAAI (智源研究院)	宋国杰, 沈华伟, 唐杰, 石川	Bilibili
2021	Conference Tutorial	DML	AAAI 2021 Tutorial: Simplifying and Automating Parallel Machine Learning via a Programmable and Composable Parallel ML System	AAAI	-	Bilibili
2021	Conference Tutorial	ML	AAAI 2021 Tutorial: Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities	AAAI	-	Bilibili
2021	Conference Tutorial	GNN	AAAI 2021 Tutorial: Graph Neural Networks: Models and Applications	AAAI	-	Bilibili
2021	Conference Tutorial	CO	AAAI 2021 Tutorial: ML & CO	AAAI	-	-
2021	Conference Tutorial	Meta Learning	AAAI 2021 Tutorial: Meta Learning	AAAI	-	Bilibili
2020	Conference Tutorial	RS	KDD 2020 Tutorial: Building Recommender Systems with PyTorch	Facebook	-	BiliBili
2020	Conference Tutorial	CI	KDD 2020 Tutorial: Causal Inference Meets Machine Learning	KDD	-	-
2020	Conference Tutorial	GNN	KDD 2020 Tutorial: Recent Advances on Graph Analytics and Its Applications in Healthcare	KDD	-	-
2020	Conference Tutorial	GNN	KDD 2020 Tutorial: Advanced Deep Graph Learning: Deeper, Faster, Robuster, and Unsupervised	KDD	-	-
2020	Conference Tutorial	GNN	KDD 2020 Tutorial: Multi-modal Network Representation Learning: Methods and Applications	KDD	-	-
2020	Conference Tutorial	AD	KDD 2020 Tutorial: Deep Learning for Anomaly Detection	KDD	-	-
2020	Conference Tutorial	NLP	EMNLP 2020 Tutorial: Interpreting Predictions of NLP Models	EMNLP	Eric Wallace, Matt Gardner, Sameer Singh	BiliBili
2020	Conference Tutorial	RL	ICML 2020 Tutorial: Model-Based Methods in Reinforcement Learning	ICML	Igor Mordatch and Jessica Hamrick	BiliBili