Tencia Lee, a Math graduate and hedge fund trader, partnered with Qi Liu, a PhD in Physics also with a hedge fund background, to devise the winning algorithm in this year’s Data Science Bowl. They [...]
Can we determine clinical applicability? This year’s competition was intended to catalyze a change in cardiac diagnostics, so connecting the competition participants and the medical community is an essential part of the DSB. I have [...]
Each day, 1,500 people in the U.S. are diagnosed with heart failure. And yet, despite decades of medical advancements, assessing cardiac function remains a time-consuming undertaking. Until, potentially, now. The results from the 2016 Data [...]
In our last blog post we described an end-to-end deep learning solution to this challenge. By “end-to-end” we mean that the raw pixels constituting a SAX study for an individual patient were fed into a [...]
This year is the first time that Booz Allen and NVIDIA have partnered to enter a team into the Data Science Bowl. Our goal for this combined team was to share some of our successes [...]
We just made a contest submission scoring 0.022886, placing us 14th on the leaderboard as of February 2nd. In this post we'll outline our current approach and some of the challenges we think we'll face [...]
When I look back on it now, I see it as the first step in the journey leading to us walking out of the hospital. Granted, I never thought my son would be in the [...]
This guide will walk you through using spot instances with Amazon Web Services (AWS) to help you save money when training DSB models on Mxnet. A spot instance on AWS is a virtual machine hosted [...]
The dataset for the 2016 Data Science Bowl presents several challenges for automated exploitation. As the images were collected in a real world setting, with several types of sensors, there is a great deal of [...]
Years ago, when I was working as a manager in NASA’s Astrophysics Data Facility, we curated data sets from thousands of NASA space science experiments. Each of those data sets was relatively small (by today’s [...]
