Lunchtime Tutorial - h2o

Data Science Melbourne
Data Science Melbourne
Public group

Location visible to members


12:00 - you can arrive
12:30 - talk
1:30 - close.

In this talk, Dr James Pearce will give an overview of h2o—the number one open source platform for AI and machine learning.

h2o was written from scratch in Java, and integrates nicely with Hadoop and Spark. Using h2o is straightforward via its R and Python interfaces, or h2o’s own web-based GUI and APIs.

h2o supports a number of machine learning and deep learning algorithms. It also supports data munging, preprocessing and model training on very large data sets.
In this session, James will show some of the unique and interesting features of h2o that will interest those new to h2o, and even those who have dabbled in it, illustrating these using examples in a live demonstration.