Past Meetup

Roundtable on Applied Machine Learning for IoT

This Meetup is past

72 people went


*Note, expedite your check in at Galvainze; register here (

The IoT is about data, not things. By 2018 it is forecast that the number of connect things will exceed the combined number of personal computers, smartphones, and tablets. Each ’thing’ can produce a tremendous stream of data from sensors and other sources. This meetup will discuss progress, examples, challenges, and opportunities with machine learning for the Internet of Things, facilitated by Hank Roark. A short presentation will be done on some recent applications of ML (using H2O) to the domains of machine prognostics / health management (PHM) and agriculture. This will be followed by open discussion and hacking on any IoT data in house.

What you should bring: Laptop

Prerequisites: Intermediate

Meet the Speaker:

Hank Roark is a Data Scientist & Hacker at H2O. Hank comes to H2O with a background turning data into products and system solutions and loves helping others find value in their data. He has a deep background in the the application domains of telematics, remote sensing, logistics, manufacturing, agriculture, and the Internet of Things. Before becoming passionate about machine intelligence, Hank managed international software teams and worked as IT consultant. In his spare time Hank likes to read non-fiction, make photographs, and compete in data science challenges. Hank has an SM from MIT in Engineering and Management and BS Physics from Georgia Tech.

*Note, expedite your check in at Galvainze; register here (