Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
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

9:00am–12:30pm Tuesday, 09/11/2018
Location: 1A 23/24 Level: Intermediate
Secondary topics:  Ethics and Privacy, Health and Medicine
Patrick Hall (H2O.ai | George Washington University), Avni Wadhwa (H20.ai), Mark Chan (H2O.ai)
Average rating: ****.
(4.50, 4 ratings)
Transparency, auditability, and stability are crucial for business adoption and human acceptance of complex machine learning models. Patrick Hall, Avni Wadhwa, and Mark Chan share practical and productizable approaches for explaining, testing, and visualizing machine learning models using open source, Python-friendly tools such as GraphViz, H2O, and XGBoost. Read more.