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Webinar: Predicting Loan Defaults With H2O.ai and DataScience.com

A live demonstration of how to use H2O.ai's artificial intelligence capabilities to predict loan defaults with the DataScience.com Platform. 

July 20, 2017 | 10:30 - 11:30 a.m. PST

About the webinar

DataScience.com has partnered with H2O.ai, provider of the open source H2O platform for artificial intelligence, to give our customers the ability to  leverage sophisticated, ready-to-use algorithms — including deep learning, gradient boosting, and ensembles — to perform large-scale data analysis. Now, DataScience.com customers can easily deploy models built with H2O in our platform, as well as monitor and test multiple versions. 

In this live webinar, DataScience.com Solution Architect Brett Olmstead and H2O.ai Technical Manager Fonda Ingram will demonstrate how lenders use automated machine learning capabilities, paired with data science expertise, to predict the likelihood a customer will default on a loan.

  • Date: Thursday, July 20, 2017

  • Time: 10:30 - 11:30 a.m. PST
tuck-ngun-datascience
Brett Olmstead
Solution Architect, DataScience.com
Brett is a solution architect with more than 10 years of experience implementing analytics software solutions with clients across many industries. Brett has a degree in cognitive science, and is busy supporting customers with the DataScience.com Platform in North America.
nathan-stephens-rstudio
Fonda Ingram
Technical Manager, H2O.ai

Fonda Ingram works for H2O.ai as a performance hacker and technical manager. She received her Ph.D. in computer engineering from North Carolina State University. While in graduate school, she participated in the NASA graduate student research fellowship program at the Jet Propulsion Laboratory in Pasadena, California. Her research interests include analysis and design of software systems, system architecture, and performance and testing of software systems. Fonda holds several U.S. patents and has authored several publications in the object-oriented design and testing area.

 

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