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Sparkling Water 3.30.0.3 is out
by Jo-fai Chow June 4, 2020 H2O Open Source Sparkling Water

Sparkling Water is about making machine learning simple, speedy, and scalable with Apache Spark. This blog provides an overview of the following new features:  No H2O Client on Spark Driver Speedups Automatic String conversion to Categoricals No H2O Client on Spark Driver Previously, Sparkling Water always started worker nodes either on Spark executors in case […]

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Running H2O cluster on a Kubernetes cluster
by Hooley Burch April 14, 2020 H2O Kubernetes

H2O is an open-source, in-memory platform for distributed, scalable machine learning. A perfect match for deployment on a Kubernetes cluster, the very modern way of deploying, serving & scaling applications. With the major release 3.30.0.1, released in Q1 2020, H2O obtained first class Kubernetes support. This article explains how to create H2O deployment on Kubernetes. It also covers the […]

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Insights From the New 2020 Gartner Magic Quadrant For Cloud AI Developer Services
by Erika Kamholz February 26, 2020 AutoML Cloud Explainable AI Gartner H2O H2O Driverless AI Machine Learning Machine Learning Interpretability NLP

We are excited to be named a Visionary in the new Gartner Magic Quadrant for Cloud AI Developer Services (Feb 2020), and have been recognized for both our completeness of vision and ability to execute in the emerging market for cloud-hosted artificial intelligence (AI) services for application developers. This is the second Gartner MQ that […]

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AI & ML Platforms: My Fresh Look at H2O.ai Technology
by Erika Kamholz February 25, 2020 AutoML Beginners Business Cloud Community Data Science Explainable AI Guest Posts H2O H2O Driverless AI Machine Learning NLP Open Source Recommendations Sparkling Water

2020: A new year, a new decade, and with that, I’m taking a new and deeper look at the technology H2O.ai offers for building AI and machine learning systems. I’ve been interested in H2O.ai since its early days as a company (it was 0xdata back then) in 2014. My involvement had been only peripheral, but […]

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Key Takeaways from the 2020 Gartner Magic Quadrant for Data Science and Machine Learning
by Erika Kamholz February 17, 2020 AutoML Data Science Explainable AI Gartner H2O H2O Driverless AI Machine Learning Technical

We are named a Visionary in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms (Feb 2020).  We have been positioned furthest to the right for completeness of vision among all the vendors evaluated in the quadrant. So let’s walk you through the key strengths of our machine learning platforms. Automatic Machine Learning […]

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Parallel Grid Search in H2O
by Erika Kamholz February 4, 2020 Data Science H2O Machine Learning Open Source Python R R-Bloggers Recommendations Technical Technical Posts

H2O-3 is, at its core, a platform for distributed, in-memory computing. On top of the distributed computation platform, the machine learning algorithms are implemented. At H2O.ai, we design every operation, be it data transformation, training of machine learning models or even parsing to utilize the distributed computation model. In order to work with big data […]

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The Super Bowl and Data Science: Changing the NFL with the Power of Machine Learning
by Patrick Moran January 31, 2020 Data Science H2O Kaggle Machine Learning

Super Bowl LIV came and went. The San Francisco 49ers vs the Kansas City Chiefs. Personally, being from the The Bay, I was rooting for the 49ers, but you can’t always get what you want. Whoever came out on top, though, we were all looking forward to a great game full of fantastic plays and […]

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Importing, Inspecting, and Scoring With MOJO Models Inside H2O
by Bruna Smith November 8, 2019 H2O Technical

Machine-learning models created with H2O may be exported in two basic ways: Binary format, Model Object, Optimized (MOJO). An H2O model can be saved in a binary format, which is tied to the very specific version of H2O it has been created with. There are multiple reasons for such a restriction. One of the important reasons is […]

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A Deep Dive into H2O’s AutoML
by Bruna Smith October 16, 2019 AutoML H2O Technical

The demand for machine learning systems has soared over the past few years. This is majorly due to the success of Machine Learning techniques in a wide range of applications. AutoML is fundamentally changing the face of ML-based solutions today by enabling people from diverse backgrounds to use machine learning models to address complex scenarios. […]

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Getting started with H2O using Flow
by Patrick Moran July 16, 2019 Flow H2O Technical

This blog was originally published on towardsdatascience: https://towardsdatascience.com/getting-started-with-h2o-using-flow-b560b5d969b8 A look into H2O’s open-source UI for combining code execution, text, plots, and rich media in a single document. Data collection is easy. Decision making is hard. Today, we have access to a humungous amount of data, which is only increasing day by day. This is primarily […]

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