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Snowflake on H2O.ai
H2O Integrates with Snowflake Snowpark/Java UDFs: How to better leverage the Snowflake Data Marketplace and deploy In-Database
by Jo-fai Chow June 9, 2021 H2O AI Cloud H2O Driverless AI Partners Snowflake Technical

Today, we are excited to announce integrations with Snowflake’s Snowpark and Java UDFs, Snowflake’s new developer experience. This essentially opens up access to Snowflake’s Data Marketplace to data scientists and developers, now allowing 3rd party unique datasets that can help improve model accuracy and deliver better business outcomes to be included in their often standard notebook based programming approaches.

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H2O on Kubernetes using Helm
by Jo-fai Chow October 16, 2020 H2O Kubernetes Technical

Deploying real-world applications using bare YAML files to Kubernetes is a rather complex task, and H2O is no exception. As demonstrated in one of the previous blog posts. Greatly simplified, a cluster of H2O open source machine learning nodes is brought up in the following manner: A headless service to make initial node discovery and clustering […]

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Empowering Snowflake Users with AI using SQL
Empowering Snowflake Users with AI using SQL
by Bruna Smith October 12, 2020 Community Machine Learning Partners Technical Tutorials

At H2O.ai we work with many enterprise customers, all the way from Fortune 500 giants to small startups. What we heard from all these customers as they embark on their data science and machine learning journey is the need to capture and manage more data cost-effectively, and the ability to share that data across their […]

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Modelling Currently Infected Cases of COVID-19 Using H2O Driverless AI
by Erika Kamholz March 30, 2020 AI4Good Explainable AI GLM H2O Driverless AI Healthcare Machine Learning Machine Learning Interpretability Responsible AI Technical Time Series

In response to the wake of the pandemic called COVID-19, H2O.ai organized a panel discussion to cover AI in healthcare, and some best practices to put in place in order to achieve better outcomes. The attendees had many questions that we did not have the time to cover thoroughly throughout the course of that 1-hour […]

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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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Blink: Data to AI/ML Production Pipeline Code in Just a Few Clicks
by Erika Kamholz February 11, 2020 H2O Driverless AI Machine Learning Python Technical

You have the data and now want to build a really really good AI/ML model and deliver to production. There are three options available today: Write the code yourself in a Jupyter notebook/R Studio etc., for training/validation and dev-ops model handoff. You decided to do the feature engineering also. Build your own features like above, […]

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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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Scalable AutoML in H2O
by Bruna Smith November 27, 2019 AutoML H2O World Machine Learning Technical

Note: I’m grateful to Dr. Erin LeDell for the suggestions, corrections with the writeup. All of the images used here are from the talks’ slides. Erin Ledell’s talk was aimed at AutoML: Automated Machine Learning, broadly speaking, followed by an overview of H2O’s Open Source Project and the library. H2O AutoML provides an easy-to-use interface that automates […]

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Climbing the AI and ML Maturity Model Curve
by Bruna Smith November 19, 2019 Data Science Machine Learning Technical

AI/ML Maturity Model Curve/Steps AI/ML Maturity models are published and updated periodically by a lot of vendors. The end goal is almost always about effecting transformation and automate processes in a short period and making AI the DNA/core of the business. One of the biggest challenges for businesses today is to clearly define what success […]

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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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