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,
125 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,
481 views
lecture
flag STAIR: The STanford Artificial Intelligence Robot Project
as author at  21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena,
686 views
  invited talk
flag Reinforcement Learning, Apprenticeship Learning and Robotic Control
as author at  Workshops,
1400 views
lecture
flag Unsupervised Discovery of Structure, Succinct Representations and Sparsity
as author at  Workshops,
1436 views
  lecture
flag 34. The Stanford Autonomous Helicopter
as author at  AAAI 2009: AI Video Competition,
together with: Pieter Abbeel, Adam Coates,
1215 views
lecture
flag Lecture 5 - Discriminative Algorithms
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
963 views
  lecture
flag Lecture 6 - Multinomial Event Model
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
626 views
lecture
flag Lecture 7 - Optimal Margin Classifier
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
730 views
  lecture
flag Lecture 8 - Kernels, Mercer's Theorem...
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
2117 views
lecture
flag Lecture 9 - Bias/variance Tradeoff
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
1543 views
  lecture
flag Lecture 10 - Uniform Convergence - The Case of Infinite H
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
448 views
lecture
flag Lecture 11 - Bayesian Statistics and Regularization
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
2573 views
  lecture
flag Lecture 12 - The Concept of Unsupervised Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
913 views
lecture
flag Lecture 13 - Mixture of Gaussian
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
1184 views
  lecture
flag Lecture 14 - The Factor Analysis Model
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
2343 views
lecture
flag Lecture 15 - Latent Semantic Indexing (LSI)
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
1158 views
  lecture
flag Lecture 16 - Applications of Reinforcement Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
683 views
lecture
flag Lecture 17 - Generalization to Continuous States
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
269 views
  lecture
flag Lecture 18 - State-action Rewards
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
238 views
lecture
flag Lecture 19 - Advice for Applying Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
550 views
  lecture
flag Lecture 20 - Partially Observable MDPs (POMDPs)
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
608 views
lecture
flag Lecture 1 - The Motivation & Applications of Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
5028 views
  lecture
flag Lecture 2 - An Application of Supervised Learning - Autonomous Deriving
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
1755 views
lecture
flag Lecture 3 - The Concept of Underfitting and Overfitting
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
1821 views
  lecture
flag Lecture 4 - Newton's Method
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
932 views
event
flag Stanford Engineering Everywhere CS229 - Machine Learning
as author at  Stanford Engineering Everywhere CS229 - Machine Learning,
  invited talk
flag STAIR: The STanford Artificial Intelligence Robot project
as author at  Invited talks,
together with: Andrew McCallum (introducer),
2724 views