Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Patrick Hall

Patrick Hall
Senior Director | Adjunct Professor, H2O.ai | George Washington University

@jpatrickhall

Patrick Hall is a senior director for data science products at H2O.ai, where he focuses mainly on model interpretability and model management. Patrick is also currently an adjunct professor in the Department of Decision Sciences at George Washington University, where he teaches graduate classes in data mining and machine learning. Previously, Patrick held global customer-facing and R&D research roles at SAS Institute. He holds multiple patents in automated market segmentation using clustering and deep neural networks. Patrick is the 11th person worldwide to become a Cloudera Certified Data Scientist. He studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.

Sessions

1:30pm5:00pm Tuesday, March 26, 2019
Secondary topics:  Ethics
Patrick Hall (H2O.ai | George Washington University)
Average rating: ****.
(4.00, 9 ratings)
If machine learning can lead to financial gains for your organization, why isn’t everyone doing it? One reason is training machine learning systems with transparent inner workings and auditable predictions is difficult. Patrick Hall details the good, bad, and downright ugly lessons learned from his years of experience implementing solutions for interpretable machine learning. Read more.