Courses on Artificial Intelligence and Data Science

We list here some courses from different institutes, with a focus on the broad area of artificial intelligence such as machine learning, deep learning, computer vision, natural language processing, and reinforcement learning. This list can by no means be exhaustive. A recommendation is to choose the one from a particular topic which best fits your need, and dig in deep in that one. The other can serve as supplemental references.

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Machine Learning

• CS6787 Advanced Machine Learning Systems
• Machine Learning Theory CMPSCI 690M
• Machine Learning 10-601
• Lectures on Machine Learning
• Oxford Machine Learning
• COMPM050 Reinforcement Learning
• Foundations of Machine Learning
• CS 540 - Introduction to Artificial Intelligence
• CSE 515T: Bayesian Methods in Machine Learning
• CIS520: Machine Learning
• Introduction to Machine Learning
• Machine Learning CS-433
• CS584: Deep Learning
• CSC412/2506S -- Spring Probabilistic Learning and Reasoning
• CIS620 Probabilistic Graphical Models
• CS 281B / Stat 241B       Statistical Learning Theory
• CS 228 - Probabilistic Graphical Models
• 6.867 Machine Learning
• CS761 Mathematical Foundations of Machine Learning @ WISC
• Mathematical Principles of Machine Learning @ NTU
• CS229 - Machine Learning
• Mathematics of Machine Learning @ Warwick
• Mathematics of Machine Learning @ MIT
• Computational Learning Theory @ Oxford
• Foundations of Machine Learning @ Princeton

 

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Deep Learning

• Machine Learning and having it deep and structured
• Machine Learning
• CS230 Deep Learning
• Deep Learning at University Paris
• CS7015: Deep Learning
• MIT Deep Learning Series
• MIT 6.S191 Introduction to Deep Learning
• CS 285 Deep Reinforcement Learning
• Deep Learning
• COS 495 Introduction to Deep Learning
• Deep Learning at SUNY
• CMSC 35246 Deep Learning
• CS231n: Convolutional Neural Networks for Visual Recognition
• Dive into Deep Learning
• CS 498 Introduction to Deep Learning
• CMP784: Deep Learning
• CS294-158-SP19 Deep Unsupervised Learning Spring
• MA8701 DeepLearning
• CS 598 LAZ: Cutting-Edge Trends in Deep Learning and Recognition
• MATH 689  Deep Learning: Theory and Applications
• CS321 Introduction to Neural Networks and Machine Learning
• Deep Learning and AI @ MIT
• Intro to Deep Learning @ MIT
• Deep Learning @ DeepMind
• Deep Learning @ DeepMind

 

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Natural Language Processing and Speech Recognition

• CS 886: Topics in Natural Language Processing @ Waterloo

• COS 484: Natural Langauge Processing @ Princeton
• COMS W4705: Natural Language Processing @ Columbia
• CMSC470 Intro to NLP @ UMD
• Natural Language Understanding @ ETHZ
• Topics in Natural Language Processing @ BGU
• Advanced Methods in Natural Language Processing @ TAU
• Empirical Methods in Natural Language Processing (ENLP) COSC-572/LING-572 @ Georgetown
• Statistical Natural Language Processing @ NYU
• CS 388: Natural Language Processing @ UTAustin
• Introduction to Natural Language Processing  CS 585 @ UMASS
• Natural Language Processing S20 11-411 @ CMU
• NLP @ Machine Learning Mastery
• Deep NLP @ Oxford
• TTIC 31210: Advanced Natural Language Processing @ UChicago
• CS224n: Natural Language Processing with Deep Learning @ Stanford
• CSC2518 - Spoken Language Processing @ U Toronto
• EE 649, Speech Processing by Computer @ Purdue
• Speech Recognition EECS E6870 @ Columbia
• Automatic Speech Recognition (ASR) @ Edingburgh
• CS224d: Deep Learning for Natural Language Processing @ Stanford
• CS224N: NLP with Deep Learning @ Stanford
• Natural Language Processing with Deep Learning @ Stanford
• Deep learning for NLP @ Stanford and DeepMind
• Deep Learning for NLP @ DeepMind and Oxford
• CS 11-747, Neural Networks for NLP @ CMU
• CS224D: Deep Learning for Natural Language Processing @ Stanford
• AI Talks at DeepMind
• NLP
• Practical NLP
• NLP @ Berkeley
• NLP @ YSDA

 

 

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Computer Vision

 

• ECE 5554 / ECE 4554: Computer Vision
• CS484: Introduction to Computer Vision
• MIT 6.S094: Deep Learning for Self-Driving Cars
• CS3346, Artificial Intelligence II
• BBM416 -- Fundamentals of Computer Vision
• IMAGE ANALYSIS AND COMPUTER VISION
• Image Processing and Computer Vision
• Computer Vision CS 554
• Computer Vision CSE 455
• CS 556: Computer Vision
• Computer Vision and Deep Learning
• Computer Vision for Visual Effects
• CS 6476 Computer Vision
• CS 376: Computer Vision
• 16-385 Computer Vision
• CS280: Computer Vision

 

 

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Reinforcement Learning

 

• CS 598 Statistical Reinforcement Learning @ UIUC
• ECE 517: Reinforcement Learning in Artificial Intelligence @ UTK
• Deep Reinforcement Learning @ Charles University
• CS885 Spring 2018 - Reinforcement Learning @ Waterloo
• Reinforcement Learning @ UPC
• Intelligent Systems - Reinforcement Learning @ MPI
• Deep RL Bootcamp @ Berkeley
• Advanced-Deep-Learning-and-Reinforcement-Learning @ DeepMind
• Real life reinforcement learning @ CMU
• CS234: Reinforcement Learning Winter 2020 @ Stanford
• Deep Reinforcement Learning CS 285 @  UC Berkeley
• Advanced Topics  2015 (COMPM050/COMPGI13)  Reinforcement Learning @ UCL
• Advanced Deep Learning and Reinforcement Learning @ DeepMind
• Introduction to Reinforcement Learning @ DeepMind
• Reinforcement Learning @ DeepMind
• Reinforcement Learning @ Stanford
• Practical Reinforcement Learning