Data Science 101: Deep Learning – Theory and Applications

Print Friendly, PDF & Email

Deep Learning is a hot topic in statistical learning and many data scientists are seeking a place to start. Here is a presentation from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya Sutskever. Ilya received his PhD in 2012 from the University of Toronto working with Geoffrey Hinton. He was also a post-doc with Andrew Ng at Stanford University. After completing his PhD, he co-founded DNNResearch with Geoffrey Hinton and Alex Krizhevsky which was acquired by Google. He is interested in all aspects of neural networks and their applications. Ilya makes major contribution to both the academia and the industry in popularizing deep learning.



Download insideBIGDATA: An Insider’s Guide to Apache Spark

Speak Your Mind