Put AI to Work
April 15-18, 2019
New York, NY
vishal hawa

vishal hawa
Principal Data Scientist, Vanguard

Vishal “Vish” Hawa is a principal data scientist at Vanguard, where he works closely with marketing managers to design attribution, propensity, and attrition modeling. Vish has over 15 years of experience in the retail and financial services industries. He has training in executive management from the Wharton School and holds postgraduate degrees in information sciences, statistics, and computer engineering from the Indian Statistical Institute.

Sessions

11:05am–11:45am Thursday, April 18, 2019
Regularization of RNNs through Bayesian networks
Case Studies, Machine Learning
 Location: Sutton South
Secondary topics:  AI case studies, Financial Services, Models and Methods
vishal hawa (Vanguard)
While deep learning has shown significant promise for model performance, it can quickly become untenable particularly when data size is short. RNNs can quickly memorize and overfit. Vishal Hawa explains how a combination of RNNs and Bayesian networks (PGM) can improve the sequence modeling behavior of RNNs. Read more.