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It’s all Water (or should I say H2O) to me!
by Team | December 24, 2017 H2O World

By Krishna Visvanathan, Co-founder & Partner, Crane Venture Partners In the career of any venture capitalist, one dreads the “oh shit moment” . For those unfamiliar with this most technical of terms – it is that moment of clarity when a VC, in the immediate aftermath of closing one’s latest investment (often at the first post invest...

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H2O4GPU Hands-On Lab (Video) + Updates
by Team | December 23, 2017 GPU , H2O4GPU

Aggregator DBSCAN Kalman Filters K-nearest neighbors Quantiles Sort If you’d like to learn more about H2O4GPU, I invite you to explore these helpful links: H2O4GPU README Open Source License (Apache 2.0) Happy Holidays! Rosalie ...

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Driverless AI - Introduction, Hands-On Lab and Updates
by Team | December 15, 2017 H2O Driverless AI

#H2OWorld was an incredible experience. Thank you to everyone who joined us! There were so many fascinating conversations and interesting presentations. I’d love to invite you to enjoy the presentations by visiting our YouTube channel . Over the next few weeks, we’ll be highlighting many of the talks. Today I’m excited to share two prese...

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New versions of H2O-3 and Sparkling Water available
by Team | December 02, 2017 H2O Release , Sparkling Water

Dear H2O Community, #H2OWorld is on Monday and we can’t wait to see you there! We’ll also be live streaming the event starting at 9:25am PST. Explore the agenda here . Today we’re excited to share that new versions of H2O-3 and Sparkling Water are available. We invite you to download them here: H2O-3.16 – MO...

Read more Raises $40 Million to Democratize Artificial Intelligence for the Enterprise
by Team | November 30, 2017 Data Science , Machine Learning

November 30, 2017 | Data Science, Machine Learning | Raises $40 Million to Democratize Artificial Intelligence for the Enterprise

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Laying a Strong Foundation for Data Science Work
by Team | November 24, 2017 Data Science , IT

By William Merchan, CSO, In the past few years, data science has become the cornerstone of enterprise companies’ efforts to understand how to deliver better customer experiences. Even so, when commissioned Forrester to survey over 200 data-driven businesses last year, only 22% reported they were leverag...

Read more Releases H2O4GPU, the Fastest Collection of GPU Algorithms on the Market, to Expedite Machine Learning in Python
by Team | September 26, 2017 GBM , GLM , GPU , k-Means

H2O4GPU is an open-source collection of GPU solvers created by It builds on the easy-to-use scikit-learn Python API and its well-tested CPU-based algorithms. It can be used as a drop-in replacement for scikit-learn with support for GPUs on selected (and ever-growing) algorithms. H2O4GPU inherits all the existing scikit-learn algor...

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Driverless AI Blog
by Team | July 13, 2017 AutoML , GPU , H2O Driverless AI

In today’s market, there aren’t enough data scientists to satisfy the growing demand for people in the field. With many companies moving towards automating processes across their businesses (everything from HR to Marketing), companies are forced to compete for the best data science talent to meet their needs. A report by McKinsey says th...

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Scalable Automatic Machine Learning: Introducing H2O's AutoML
by Team | June 21, 2017 AutoML , Ensembles , H2O Release , Technical

Prepared by: Erin LeDell, Navdeep Gill & Ray Peck 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 that can be used by non-experts and experts...

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XGBoost in the H2O Machine Learning Platform
by Team | June 20, 2017 XGBoost

The new H2O release brings a shiny new feature – integration of the powerful XGBoost library algorithm into H2O Machine Learning Platform! XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. XGBoost provides parallel tree boosting (also known as GBDT, GBM) that ...

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H2O Platform Extensibility
by Team | June 17, 2017

The latest H2O release,, introduced several new concepts to improve extensibility and modularity of the H2O machine learning platform . This blog post will clarify motivation, explain design decisions we made, and demonstrate the overall approach for this release.MotivationThe H2O Machine Learning platform was designed as a mono...

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Machine Learning on GPUs
by Team | May 08, 2017 GPU

With H2O GPU Edition, seeks to build the fastest artificial intelligence (AI) platform on GPUs. While deep learning has recently taken advantage of the tremendous performance boost provided by GPUs, many machine learning algorithms can benefit from the efficient fine-grained parallelism and high throughput of GPUs. Importantly, G...

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The Race for Intelligence: How AI is Eating Hardware - Towards an AI-defined hardware world
by Team | May 08, 2017 GPU

With the AI arms race reaching a fever pitch, every data-driven company is (or at least should be) evaluating its approach to AI as a means to make their owned datasets as powerful as they can possibly be. In fact, any business that’s not currently thinking about how AI can transform its operations risks falling behind its competitors and...

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H2O announces GPU Open Analytics Initiative with MapD & Continuum
by Team | May 08, 2017 Community , GPU , Technical, Continuum Analytics, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs. GOAI will foster the development of a data science ecosystem on GPUs by allowing resident applicat...

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Use on Azure HDInsight
by Team | April 18, 2017 Cloud , Sparkling Water , Technical , Tutorials

This is a repost from this article on MSDN. We’re hosting an upcoming webinar to present you how to use H2O on HDInsight and to answer your questions. Sign up for our upcoming webinar on combining H2O and Azure HDInsight. We recently announced that H2O and Microsoft Azure HDInsight have integrated to provide Data Scientists with a Lead...

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Sparkling Water on the Spark-Notebook
by Team | April 10, 2017 Guest Posts , Sparkling Water , Technical

This is a guest post from our friends at Kensu. In the space of Data Science development in enterprises, two outstanding scalable technologies are Spark and H2O. Spark is a generic distributed computing framework and H2O is a very performant scalable platform for AI. Their complementarity is best exploited with the use of Sparkling Wat...

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Stacked Ensembles and Word2Vec now available in H2O!

Prepared by: Erin LeDell and Navdeep Gill MathJax.Hub.Config({ tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]} }); Stacked Ensembles ensemble <- h2o.stackedEnsemble(x = x, y = y, training_frame = train, base_models = my_models) Python:ensemble = H2OStackedEnsembleEstimator(base_models=my_models) ensemble.train(x=x, y=y, training...

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Artificial Intelligence Is Already Deep Inside Your Wallet – Here’s How
by Team | January 12, 2017 Financial Services , Fraud Detection

Artificial intelligence (AI) is the key for financial service companies and banks to stay ahead of the ever-shifting digital landscape, especially given competition from Google , Apple , Facebook , Amazon and others moving strategically into fintech. AI startups are building data products that not only automate the ingestion of vast amou...

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Football Flowers
by Team | January 10, 2017

function resizeIframe() { document.getElementById('cheese').style.height = document.getElementById('cheese').contentWindow.document.body.scrollHeight + 'px'; setInterval(resizeIframe, 1000); } ...

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Start Off 2017 with Our Stanford Advisors
by Team | January 09, 2017 Community , Technical

We were very excited to meet with our advisors (Prof. Stephen Boyd, Prof. Rob Tibshirani and Prof. Trevor Hastie) at H2O.AI on Jan 6, 2017. Professors Boyd, Tibshirani & Hastie in the house! @h2oai #elementsofstatisticallearning #MachineLearning — (@h2oai) January 6, 2017 Our CEO, Sri Ambati, ma...

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What is new in Sparkling Water 2.0.3 Release?
by Team | January 05, 2017 Community , H2O Release , Sparkling Water

This release has H2O core – Feature:This architectural change allows to connect to existing h2o cluster from sparkling water. This has a benefit that we are no longer affected by Spark killing it’s executors thus we should have more stable solution in environment with lots of h2o/spark node. We are working on article on ...

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