Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Bill Porto
Sr. Engineering Analyst, RedPoint Global

Bill Porto is an expert in applying computational intelligence to solve real-world problems across various problem domains. As senior analytics engineer at RedPoint Global, he develops automated business optimization software that incorporates evolutionary optimization, neural networks, and a host of other non-traditional machine learning techniques. An applied mathematician by trade, Bill has created adaptive solutions to dynamic problems for resource allocation, pattern recognition, drug discovery, and logistics scheduling. Before RedPoint, he was president of Natural Selection, Inc. where he received the 2010 FDA Honor Award for his work on their PREDICT automated risk-assessment system.


2:55pm–3:35pm Wednesday, 09/30/2015
Location: 1 E14
Bill Porto (RedPoint Global)
Average rating: **...
(2.80, 10 ratings)
This session covers why continual, adaptive optimization is a key to success with real world machine learning models. Bill will detail the applicability of machine learning tools with the pros/cons of each. Learn how to optimize processes to drive more predictable outcomes from business decisions. Tools for automating access to changing data and removal of noise and error will also be reviewed. Read more.