H2O is an open source predictive analytics platform for data scientists and business analysts who need scalable and fast machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math and high performance parallel processing with unrivaled ease of use. H2O speaks the language of data science with support for R, Python, Scala, Java and a robust REST API. Smart business applications are powered by H2O’s nano-fast scoring engine.
H2O intelligently combines the following features to solve today’s most challenging business problems:
1. Best of breed Open Source Technology
2. Easy-to-use WebUI and Familiar Interfaces
3. Data Agnostic Support for all Common Database and File Types
4. Massively scalable Big Data Munging and Analysis
5. Real-time Data Scoring
These lessons will help you get started with installing and running H2O on your laptop or cluster and will show you how to build models with sophisticated and fast algorithms such as GLM, Deep Learning and Random Forests. H2O can be accessed from the most popular data science platforms including R, Python & Scala, this course will have scripts for all three languages to run for each of the lessons. In addition, H2O can be run using a powerful notebook-like web interface called Flow. This course will also teach you how to use and run models on Flow.
The video instructions below will help you get a "Quick Start" on H2O. Please click on "Playlist" in the upper left corner to select the appropriate platform for your needs.
Watch all the Quick Start videos
- Quick Start with R
- Quick Start with Python
- Quick Start on Hadoop
- Quick Start with Sparkling Water
- Quick Start with Flow
- We'd love to hear from you! Reach out to us on our Google Stream group with questions, requests, or comments any time.