Introduction to Machine Learning with H2O.ai Applications
Details
Agenda:
7:00 - 7:30 pm - Pizza and Networking
7:30 - 8:15 pm - Patrick's Talk
8:15 - 8:30 pm - Q&A
Abstract:
Machine learning encompasses an important group of algorithms and technologies that are becoming ever more ubiquitous in our jobs and in our daily lives. H2O.ai is a powerful, open-source tool for doing machine learning. This talk will attempt to answer some important questions around machine learning like, what is it exactly? And why is it so popular right now? This talk will also lay out some very basic machine learning theory, give some practical advice for applied practitioners, and provide an introduction on how H2O works as a technology.
Bio:
Patrick Hall is a senior data scientist and product engineer at H2O.ai. Patrick works with H2O.ai customers to derive substantive business value from machine learning technologies. His product work at H2O.ai focuses on two important aspects of applied machine learning, model interpretability and model deployment. 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.
Prior to joining H2O.ai, Patrick held global customer facing roles 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.