Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Explainable Machine Learning, Model Transparency, and the Right to Explanation
 Check out this topical video from Predictive Analytics World...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
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6 years ago
Video: Superutilizers Made Simple. Identifying High-Cost Recipients

 

This speaker session is from Predictive Analytics World for Healthcare, October, 5–9, 2014 in Boston, MA:

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 Aran Canes has been leveraging his expertise in data analytics since graduating from the University of Virginia in 1998 with a BA in Physics. He worked for several years at an economics consulting firm and the Antitrust Division of the Justice Department, during which he calculated damages from intellectual property lawsuits, determined potential fines for collusion, and analyzed the competitive effects of mergers. Since graduating from the University of Maryland in 2010 with a MA in Economics, Aran has been working in health care-in program integrity, quality improvement and pharmaceuticals. He has built models to detect pain killer

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.