Courses

Courses

We have added video introduction to some Stanford A.I. courses from Fall 2019 CS229.
Please check them out at https://ai.stanford.edu/stanford-ai-courses

 

Course Number
Course Name
Instructor
CS330 Deep Multi-Task and Meta Learning Finn
CS221 Artificial Intelligence: Principles and Techniques Liang/Sadigh/Charikar
CS229 Machine Learning Dror/Ng/Ma/Re
CS229A Applied Machine Learning Ng
CS229T Statistical Learning Theory Ma
CS230 Deep Learning Ng/Katanforoosh
CS234 Reinforcement Learning Brunskill
CS332 Advanced Survey of Reinforcement Learning Brunskill
CS224W Machine Learning with Graphs Leskovec/Catasta
CS246 Mining Massive Data Sets Leskovec
EE377 Statistics and Information Theory Duchi
CS124 From Languages to Information Jurafsky
CS224N Natural Language Processing with Deep Learning Manning
CS224U Natural Language Understanding MacCartney / Potts
CS276 Information Retrieval and Web Search Manning
CS231A Computer Vision: From 3D Reconstruction to Recognition Savarese
CS231N Convolutional Neural Networks for Visual Recognition Li/Karpathy/ Johnson
CS331B Representation Learning in Computer Vision Savarese
CS223A Introduction to Robotics Khatib
CS225A Experimental Robotics Khatib
CS326 Topics in Advanced Robotic Manipulation Bohg
CS327A Advanced Robotic Manipulation Khatib
CS333 Safe and Interactive Robotics Sadigh
CS237A Principles of Robotic Autonomy Pavone
CS157 Computational Logic Genesereth
CS257 Logic and Automated Reasoning Icard
CS361 Introduction to Multidisciplinary Design Optimization Kochenderfer
CS238 Decision Making Under Uncertainty Kochenderfer
CS239 Sequential Decision Making Kochenderfer
CS224W Social and Information Network Analysis Leskovec / Adamic
CS246 Mining Massive Data Sets Leskovec
CS273A A Computational Tour of the Human Genome Bejerano
CS279 Computational Biology: Structure and Organization of Biomolecules and Cells Dror
CS371 Computational Biology in Four Dimensions Dror
CS522 Seminar in Artificial Intelligence in Healthcare Ng / Dror
CS205L Continuous Mathematical Methods with an Emphasis on Machine Learning Fedkiw
CS325b Data for Sustainable Development Ermon/
Lobell/
Burke
CS181 Ethics, Policy, and Technology Reich/
Sahami/
Weinstein