Name: Introduction to Scalable Fast Machine Learning with H2O
Start: 2016-04-11T18:00:00-05:00
End: 2016-04-11T21:00:00-05:00
Location: AT&T

***Please RSVP HERE:

https://www.eventbrite.com/e/introduction-to-scalable-fast-machine-learning-with-h2o-tickets-24401308972

Your full name and photo ID will be required for security.

Abstract:

Come learn about H2O, the best machine learning software since sliced bread. We will show how to download, install, start, and use H2O version 3. Then we will interact with H2O using some favorite data science tools: R and Python. Supervised and unsupervised learning examples will be used. This is a hands on session; please bring your computers for the best experience.

Bio:

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.

RSVP HERE:

https://www.eventbrite.com/e/introduction-to-scalable-fast-machine-learning-with-h2o-tickets-24401308972

Dallas AI and LLMs

Technology

Big Data

Data Analytics

Natural Language Processing

Artificial Intelligence Applications

Automated Machine Learning

Deep Learning

Artificial Intelligence

Open Source

Data Science

Software Development

Machine Learning

Machine Learning Interpretability

Introduction to Scalable Fast Machine Learning with H2O

AT&T

Share

Dallas AI and LLMs

Introduction to Scalable Fast Machine Learning with H2O

Dallas AI and LLMs

Details

Members are also interested in