Big Data Machine Learning & Data Products with Python and H2O

Explore the power of H2O, an open-source predictive analytics platform, in this 23-minute conference talk from ODSC WEST 2015. Discover how H2O combines advanced mathematics with high-performance parallel distributed processing, offering unparalleled ease of use. Learn about H2O's compatibility with Python, R, Scala, Java, and its robust REST API. Gain insights into H2O's NanoFast Scoring Engine for powering smart business applications. Delve into topics such as in-memory distributed data frames for parallel data munging, distributed machine learning, and fast production scoring without reprogramming. Watch as Hank Roark, a data scientist at H2O, demonstrates how H2O integrates with the PyData/SciKit ecosystem and showcases its applications in telematics, remote sensing, logistics, manufacturing, agriculture, and the Internet of Things.

Intro
H2O
H2O Software Stack
Reading Data
H2O Loading
Python
Training and Validation
Output
Regression
Score
Data Science Use Case
Open Source Stack
Questions
H2O Assembly
Spark
Resources