Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Dave Kale

Dave Kale
Deep Learning Engineer, Skymind

Website

David Kale is a deep learning engineer at Skymind and a PhD candidate in computer science at the University of Southern California, where he is advised by Greg Ver Steeg of the USC Information Sciences Institute. His research uses machine learning to extract insights from digital data in high-impact domains, such as healthcare, and he collaborates with researchers from Stanford Center for Biomedical Informatics Research and the YerevaNN Research Lab. Recently, David pioneered the application of deep learning to modern electronic health records data. At Skymind, he works with clients and partners to develop and deploy deep learning solutions for real world problems. David co-organizes the Machine Learning for Healthcare Conference (MLHC) and has served as a judge in several XPRIZE competitions, including the upcoming IBM Watson AI XPRIZE. He is the recipient of the Alfred E. Mann Innovation in Engineering Fellowship.

Sessions

1:30pm5:00pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL20 D Level: Intermediate
Secondary topics:  Deep learning
Dave Kale (Skymind), Susan Eraly (Skymind), Josh Patterson (Skymind)
Average rating: ***..
(3.33, 3 ratings)
Dave Kale, Susan Eraly, and Josh Patterson explain how to build, train, and deploy neural networks using Deeplearning4j. Topics include the fundamentals of deep learning, ND4J and DL4J, and scalable training using GPUs and Apache Spark. You'll gain hands-on experience with several models, including convolutional and recurrent neural nets. Read more.