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Key Takeaways from the Forrester Notebook Wave
Key Takeaways from the Forrester Notebook Wave
by Vinod Iyengar September 7, 2018 Uncategorized

The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning Solutions, Q3 2018 is out, and H2O.ai is a Strong Performer! The report looks at machine learning platforms centered on R and Python languages using notebooks like Jupyter and Zeppelin. Vendors are evaluated along three dimensions including market presence, current offering, and overall strategy. Here are […]

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How to Frame Your Business Problem for Automatic Machine Learning
How to Frame Your Business Problem for Automatic Machine Learning
by Avni Wadhwa June 13, 2018 Data Science H2O Driverless AI Machine Learning Uncategorized

Over the last several years, machine learning has become an integral part of many organizations’ decision-making at various levels. With not enough data scientists to fill the increasing demand for data-driven business processes, H2O.ai has developed a product called Driverless AI that automates several time consuming aspects of a typical data science workflow: data visualization, […]

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Data ingest
H2O.ai and IBM build a Strategic Partnership to bring AI innovation to the market together
by Sri Ambati June 7, 2018 Uncategorized

Excited to announce our strategic partnership with IBM that allows them to resell and take to market H2O Driverless AI to businesses worldwide. This partnership makes AI economical – faster, cheaper and easier to do experiments. H2O Driverless AI and IBM POWER9 GPU Systems are bringing together the best of breed AI innovation. We have […]

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Model parameter different graphs
XGBoost in the H2O Machine Learning Platform
by Michal Malohlava June 20, 2017 Uncategorized XGBoost

  The new H2O release 3.10.5.1 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 solves many data science […]

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H2O Platform Extensibility
H2O Platform Extensibility
by Michal Malohlava June 17, 2017 Uncategorized

Untitled Document.md The latest H2O release, 3.10.5.1, 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. Motivation The H2O Machine Learning platform was designed as a monolith application. However, a […]

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Football Flowers
Football Flowers
by h2oai January 10, 2017 Uncategorized

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H2O-close-up2
Why We Bought A Happy Diwali Billboard
by h2oai October 21, 2016 Uncategorized

It’s been a dark year in many ways, so we wanted to lighten things up and celebrate Diwali — the festival of lights! Diwali is a holiday that celebrates joy, hope, knowledge and all that is full of light — the perfect antidote for some of the more negative developments coming out of the Silicon […]

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Spark commands
Connecting to Spark & Sparkling Water from R & Rstudio
by Vinod Iyengar March 24, 2016 Uncategorized

Sparkling Water offers the best of breed machine learning for Spark users. Sparkling Water brings all of H2O’s advanced algorithms and capabilities to Spark. This means that you can continue to use H2O from Rstudio or any other ide of your choice. This post will walk you through the steps to get running on plain […]

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Road Ahead and BTUs
Road Ahead and BTUs
by Sri Ambati March 3, 2016 Uncategorized

H2O.ai – Road Ahead – keynote presentation by Sri Ambati from Sri Ambati

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Thank you, Cliff
Thank you, Cliff
by Sri Ambati February 24, 2016 Uncategorized

Cliff resigned from the Company last week – He is parting on good terms and supports our success in future. Cliff and I worked closely since 2004 so this is a loss for me. It ends an era of prolific work supporting my vision as a partner. Let’s take this opportunity to congratulate Cliff on […]

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