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

Michael Dusenberry
Software Engineer, IBM Spark Technology Center

Website

Mike Dusenberry is an engineer at the IBM Spark Technology Center, where he is creating a deep learning library for SystemML and solving for performant deep learning at scale. Mike was on his way to an MD and a career as a physician in his home state of North Carolina when he teamed up with professors on a medical machine-learning research project. Two years later in San Francisco, Mike is contributing to Apache SystemML as a committer and researching medical applications for deep learning.

Sessions

1:50pm2:30pm Wednesday, March 15, 2017
Data science & advanced analytics
Location: 210 C/G Level: Advanced
Secondary topics:  Deep learning, Healthcare
Michael Dusenberry (IBM Spark Technology Center), Frederick Reiss (IBM)
Average rating: *****
(5.00, 2 ratings)
Estimating the growth rate of tumors is a very important but very expensive and time-consuming part of diagnosing and treating breast cancer. Michael Dusenberry and Frederick Reiss describe how to use deep learning with Apache Spark and Apache SystemML to automate this critical image classification task. Read more.