Andrew Ng
homepage:http://ai.stanford.edu/~ang/
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Description

Andrew Ng is a Co-founder of Coursera, and a Computer Science faculty member at Stanford. In 2011, he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform, and also taught an online Machine Learning class that was offered to over 100,000 students, leading to the founding of Coursera. Ng’s goal is to give everyone in the world access to a high quality education, for free. Today, Coursera partners with top universities to offer high quality, free online courses. With 62 university partners, over 300 courses, and more than 3 million students, Coursera is currently the largest MOOC (Massively Open Online Courses) platform in the world. Outside online education, Ng’s research work is in machine learning, with an emphasis on Deep Learning. He is also the Director of the Stanford Artificial Intelligence Lab.


Lectures:

keynote
flag The Online Revolution: Education for Everyone
as author at  1st Internet of Education Conference - The role of Computer Science in the Internet of Education, Ljubljana 2013,
3280 views
  keynote
flag The Online Revolution: Education for Everyone
as author at  19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago 2013,
10451 views
lecture
flag STAIR: The STanford Artificial Intelligence Robot Project
as author at  21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena,
6322 views
  invited talk
flag Reinforcement Learning, Apprenticeship Learning and Robotic Control
as author at  Workshops,
9613 views
lecture
flag Unsupervised Discovery of Structure, Succinct Representations and Sparsity
as author at  Workshops,
9610 views
  lecture
flag 34. The Stanford Autonomous Helicopter
as author at  AAAI 2009: AI Video Competition,
together with: Pieter Abbeel, Adam Coates,
8779 views
lecture
flag Lecture 5 - Discriminative Algorithms
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
7439 views
  lecture
flag Lecture 6 - Multinomial Event Model
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
6130 views
lecture
flag Lecture 7 - Optimal Margin Classifier
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
5902 views
  lecture
flag Lecture 8 - Kernels, Mercer's Theorem...
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
10334 views
lecture
flag Lecture 9 - Bias/variance Tradeoff
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
8426 views
  lecture
flag Lecture 10 - Uniform Convergence - The Case of Infinite H
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
4179 views
lecture
flag Lecture 11 - Bayesian Statistics and Regularization
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
12280 views
  lecture
flag Lecture 12 - The Concept of Unsupervised Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
6706 views
lecture
flag Lecture 13 - Mixture of Gaussian
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
7959 views
  lecture
flag Lecture 14 - The Factor Analysis Model
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
12356 views
lecture
flag Lecture 15 - Latent Semantic Indexing (LSI)
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
8149 views
  lecture
flag Lecture 16 - Applications of Reinforcement Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
5954 views
lecture
flag Lecture 17 - Generalization to Continuous States
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
3589 views
  lecture
flag Lecture 18 - State-action Rewards
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
3498 views
lecture
flag Lecture 19 - Advice for Applying Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
5122 views
  lecture
flag Lecture 20 - Partially Observable MDPs (POMDPs)
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
5666 views
lecture
flag Lecture 1 - The Motivation & Applications of Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
31092 views
  lecture
flag Lecture 2 - An Application of Supervised Learning - Autonomous Deriving
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
12025 views
lecture
flag Lecture 3 - The Concept of Underfitting and Overfitting
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
12121 views
  lecture
flag Lecture 4 - Newton's Method
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
7067 views
event
flag Stanford Engineering Everywhere CS229 - Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
74037 views
  invited talk
flag STAIR: The STanford Artificial Intelligence Robot project
as author at  Invited talks,
together with: Andrew McCallum (introducer),
14627 views