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

Mark Chan
Hacker and Data Scientist, H2O.ai

Website

Mark Chan is a hacker and data scientist at H2O.ai. Previously, he was a quantitative research developer at Thomson Reuters and Nipun Capital and a data scientist at an IoT startup, where he built a web-based machine learning platform and developed predictive models. Mark holds an MS in financial engineering from UCLA and a BS in computer engineering from the University of Illinois Urbana-Champaign. In his spare time, Mark likes competing on Kaggle and cycling.

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.