Andrew Ng is VP & Chief Scientist of Baidu; Co-Chairman and Co-Founder of Coursera; and an Adjunct Professor at Stanford University.
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 to over 100,000 students, leading to the founding of Coursera. Ng’s goal is to give e LEARN MORE HERE
“I am an Engineering Fellow at Google where I manage Brain Team Toronto, which is a new part of the Google Brain Team and is located at Google’s Toronto office at 111 Richmond Street. Brain Team Toronto does basic research on ways to improve neural network learning techniques. I also do pro bono work as the Chief Scientific Adviser of the new Vector Institute. I am also an Emeritus Professor at the University of Toronto. “
Yann LeCun was born near Paris, France, in 1960. He received a Diplôme d’Ingénieur from the Ecole Superieure d’Ingénieur en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Université Pierre et Marie Curie in 1987 during which he proposed an early form of the back-propagation learning algorithm for neural networks.
He was a postdoctoral research associate in Geoffrey Hinton’s lab at the University of Toronto from 1987 to 1988.
n 1988, he joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, New Jersey, United States, headed by Lawrence D. Jackel, where he developed a number of new machine learning methods
Ian J. Goodfellow is a Staff Research Scientist working in machine learning, currently employed as a research scientist at Google Brain. He has made several contributions to the field of deep learning.
Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA),CIFAR Program co-director of the CIFAR program on Learning in Machines and Brains, Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He supervises a large group of graduate students and post-docs. His research is widely cited (over 80000 citations found by Google Scholar in September 2017, with an H-index of 101).
Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, associate editor for the Neural Computation journal, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journaland the IEEE Transactions on Neural Networks.
Yoshua Bengio was Program Chair for NIPS’2008and General Chair for NIPS‘2009(NIPS is the flagship conference in the areas of learning algorithms and neural computation). Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). He has also organized or co-organized numerous other events, principally the deep learning workshops and symposiua at NIPS and ICML since 2007. Yoshua Bengio is Officer of the Order of Canada and member of the Royal Society of Canada.