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: Using Association Rule Mining to Identify Risks for Readmissions

 

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

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 Dr. Zasadil holds a Ph.D. in Mathematical Physics from Indiana University with a specialization in Partial Differential Equations, Numerical Analysis, and Statistical Mechanics. He is the Chief Scientist for the Health Economics department at UPMC Health Plan where he utilizes machine learning and data mining techniques in the development of predictive models. His prior job titles have included positions as: mathematician, physicist, software engineer and scientist. He has been involved in the programming, modeling, simulation and data analysis of projects in the fields of atmospheric physics, radiation oncology, supply chain logistics, and medical informatics.

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.