Machine Learning on Google Cloud with H2O
Hosted by San Francisco Big Data Science
Details
In advance of our session (https://cloud.withgoogle.com/next18/sf/sessions/session/227718) at Google Next on Tuesday, July 24, we will be having an introductory session on H2O.ai and our product suite. Nicholas will give an overview of H2O, the leading open source machine learning platform for the enterprise, which integrates seamlessly with R and Python environments, as well as, Driverless AI, an enterprise automated machine learning solution. Nicholas will also be talking about some of the integration points that H2O.ai has built with Google, including: Google Cloud Engine, Kubeflow, and more.
Tentative Agenda:
6:00 - 6:30 PM: Doors open and Pizza
6:30 - 7:15PM:
Who is H2O.ai
Introduction
H2O-3 + Sparkling Water
Driverless AI
H2O + Google
GCP Integrations
Kubeflow
7:15 - 7:45 PM: Questions/Networking
Speaker's Bio:
Nicholas Png is a Partnerships Software Engineer at H2O.ai. Prior to working at H2O, he worked as a Quality Assurance Software Engineer, developing software automation testing. Nicholas holds a degree in Mechanical Engineering, and has experience working with customers across multiple industries, identifying common problems, and designing robust, automated solutions.
