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An Overview of Python’s Datatable package
by Patrick Moran June 4, 2019 Data Science H2O H2O Driverless AI Python Technical Technical Posts

This blog originally appeared on “There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days”: Eric Schmidt If you are an R user, chances are that you have already been using the data.table package. Data.table is an extension of the data.frame package in R. It’s also […]

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Key Takeaways from the Gartner Magic Quadrant For Data Science & Machine Learning
by Vinod Iyengar January 30, 2019 Gartner H2O Machine Learning Machine Learning Interpretability

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms (Jan 2019) is out and has been named a Visionary. The Gartner MQ evaluates platforms that enable expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models. Key Highlights: Some of the highlights […]

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H2O New Year releases
by Jo-fai Chow January 18, 2019 H2O H2O Release Python R

There were two releases shortly after each other. First, on December 21st, there was a minor (fix) release Immediately followed by a more major release (but still on 3.22 branch) codename Xu, named after mathematician Jinchao Xu, whose work is focused on deep neural networks, besides many other fields of research. Of course, the […]

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Anomaly Detection with Isolation Forests using H2O
Anomaly Detection with Isolation Forests using H2O
by angela November 6, 2018 Data Science H2O

Introduction Anomaly detection is a common data science problem where the goal is to identify odd or suspicious observations, events, or items in our data that might be indicative of some issues in our data collection process (such as broken sensors, typos in collected forms, etc.) or unexpected events like security breaches, server failures, and […]

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Welcome’s Driverless AI Community!
by Rafael Coss October 30, 2018 Beginners Community H2O H2O Driverless AI

I am very excited to announce the formation of the inaugural community for H2O Driverless AI  users. The Driverless AI Community is open for anyone looking to engage with other users as well as experts from’s Driverless AI,   Driverless AI is an award-winning automatic machine learning platform that does “AI to do AI” to solve […]

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H2O for Inexperienced Users
H2O for Inexperienced Users
by Abhay Singhal August 24, 2018 Beginners Data Science H2O Machine Learning

Some background: I am a rising senior in highschool, and the summer of 2018, I interned at With no ML experience beyond Andrew Ng’s Introduction to Machine Learning course on Coursera and a couple of his deep learning courses, I initially found myself slightly overwhelmed by the variety of new algorithms H2O has to […]

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The different flavors of AutoML
by Erin LeDell August 15, 2018 AutoML Data Science H2O H2O Driverless AI

In recent years, the demand for machine learning experts has outpaced the supply, despite the surge of people entering the field. To address this gap, there have been big strides in the development of user-friendly machine learning software (e.g. H2O, scikit-learn, keras). Although these tools have made it easy to train and evaluate machine learning […]

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H2O-3 on FfDL: Bringing deep learning and machine learning closer together
by Vinod Iyengar June 25, 2018 Community Deep Learning H2O Technical

This post originally appeared in the IBM Developer blog here. This post is co-authored by Animesh Singh, Nicholas Png, Tommy Li, and Vinod Iyengar. Deep learning frameworks like TensorFlow, PyTorch, Caffe, MXNet, and Chainer have reduced the effort and skills needed to train and use deep learning models. But for AI developers and data scientists, […]

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Data for H2o instance running
H2O + Kubeflow/Kubernetes How-To
by Nicholas Png March 29, 2018 H2O

Today, we are introducing a walkthrough on how to deploy H2O 3 on Kubeflow. Kubeflow is an open source project led by Google that sits on top of the Kubernetes engine. It is designed to alleviate some of the more tedious tasks associated with machine learning. Kubeflow helps orchestrate deployment of apps through the full […]

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Congratulations – H2O is a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms
by Sri Ambati February 25, 2018 Community Customer Gartner H2O

Congratulations – Thanks to the support of our customer community over the past years, is a leader and one with the most completeness of vision in Gartner Magic Quadrant for Data Science and Machine Learning Platforms. It is an ecosystem we dedicated a good part of this decade to open up and spring. This […]

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