Home

Latest Posts

  • RE: Error: Can't get Master Kerberos principal for ...

    By: James Medel , yesterday

    Test 3 ------------------------------ James Medel Engineer ------------------------------

Latest Articles

  • Flatten a Nested Parquet File via Sparkling Water

    By: James Medel

    This article applies to Sparkling Water for h2o versions 3.24.0.5 and later. After setting up Sparkling Water for your ...

Latest Resources

  • The Elements of Statistical Learning

    By: James Medel 3 months ago

    The Elements of Statistical Learning Data Mining, Inference, and Prediction

    Attachments

H2O.ai Learning Center

H2O.ai tutorials are open to anyone in the community who would like to learn and get hands-on with Machine Learning step-by-step. Tutorials are targeted at people of all skill levels.

H2O.ai courses come as paid or free courses for people who would like to learn the core techniques needed to make effective use of H2O. You learn to make machine learning models using a variety of algorithms. Experience in machine learning and math isn't needed.

If you run into questions or problems that prevent you from completing a tutorial or course, make a post in your tutorials or course discussion thread and our community, developers and data scientists will help out.

Most Active Users

Chat

Meet the Slack Hosts
Arno_Candel.png Erin LeDell Rafael_Coss.png Megan Kurka

Chat with H2O.ai makers and data scientist
users in the H2O.ai Slack workspace

Already a member? Log In

Videos

Driverless AI Test Drive Free

You can learn how to build, validate, and explain machine learning models using H2O Driverless AI on the H2O Aquarium Cloud. No need to download software.

In just minutes, a cloud instance will be provisioned to get you started.With the use of a series of step-by-step tutorials, we will guide you through the features and capabilities of Driverless AI.

In the first tutorial, learn how to ingest data into the platform, visualize a dataset, tune and build a machine learning model, view the model explanations and explore a model report.

H2O-3 Open Source

For those folks who are interested in the open source. H2O.ai has an open source library called H2O-3.

H2O-3 is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data and provides easy productionalization of those models in an enterprise environment.

Get H2O-3 installed in R, Python, Scala on Hadoop/Yarn by following the instructions from the documentation.

Community Members

Open Source Community

Meetups

Join a Meetup Near You

H2O-3 on Stack Overflow Q&A

View on Stack Overflow

DAI on Stack Overflow Q&A

View on Stack Overflow

Code

H2O World 2019

H2O World is an interactive community event featuring advancements in AI, machine learning and explainable AI. Thousands of attendees from around the world watch sessions from the makers behind H2O.ai, leading academics, and our customer community. Attendees discover the strategies and insights they need to accelerate their AI journey.