AI News, 10 Famous Machine Learning Experts
- On Wednesday, October 17, 2018
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10 Famous Machine Learning Experts
Unlike most other lists of top experts, this one is a hand-picked selection, not based on influence or Klout scores, or the number of Twitter followers and re-tweets, or other similar metrics.
He has since turned to work on neuroscience full-time, founded the Redwood Center for Theoretical Neuroscience (formerly the Redwood Neuroscience Institute) in 2002, founded Numenta in 2005 and published On Intelligence describing his memory-prediction framework theory of the brain.
In 2003 he was elected as a member of the National Academy of Engineering 'for the creation of the hand-held computing paradigm and the creation of the first commercially successful example of a hand-held computing device.'
His early work includes the Stanford Autonomous Helicopter project, which developed one of the most capable autonomous helicopters in the world, and the STAIR (STanford Artificial Intelligence Robot) project, which resulted in ROS, a widely used open-source robotics software platform.
Ng is also the author or co-author of over 100 published papers in machine learning, robotics and related fields, and some of his work in computer vision has been featured in a series of press releases and reviews.
On May 16, 2014, Ng announced from his Coursera blog that he would be stepping away from his day-to-day responsibilities at Coursera, and join Baidu as Chief Scientist, working on deep learning.
He was one of the first researchers who demonstrated the use of generalized backpropagation algorithm for training multi-layer neural nets and is an important figure in the deep learning movement.
Yann LeCun is a computer scientist with contributions in machine learning, computer vision, mobile robotics and computational neuroscience.
He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets.
With Barbara Oakley, he co-created and taught Learning How To Learn: Powerful mental tools to help you master tough subjects, the world's most popular online course, It is available on Coursera.
He popularised Bayesian networks in the machine learning community and is known for pointing out links between machine learning and statistics.
Jordan was also prominent in the formalisation of variational methods for approximate inference and the popularisation of the expectation-maximization algorithm in machine learning.
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