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An Introduction to Time Series Modeling: Traditional Time Series Models and Their Limitations
by Adam Murphy December 3, 2021 H2O AI Cloud Time Series

In the first article in this series, we broke down the preprocessing and feature engineering techniques needed to build high-performing time series models. But we didn’t discuss the models themselves. In this article, we will dig into this. As a quick refresher, time series data has time on the x-axis and the value you are […]

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Announcing the Fully Managed H2O AI Cloud
by Michelle Tanco December 1, 2021 H2O AI Cloud

The H2O AI Cloud is the leading platform to make and access your own AI models and apps. Customers have had access to the H2O AI Hybrid Cloud for the last year, where they could manage the platform themselves on their favorite cloud or on-prem infrastructure. Today, we’re excited to announce a fully managed version […]

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H2O.ai Tools for a Beginner
by Jo-Fai Chow November 30, 2021 Beginners Community H2O H2O Driverless AI Wave

Note: this is a community blog post by Shamil Dilshan Prematunga. It was first published on Medium. Hey, this is not a deep technical blog. I’d like to share the experience I had with H2O tools when I was studying Machine Learning. As a Research Engineer, I am currently working on an area based on […]

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Amazon Redshift Integration for H2O.ai Model Scoring
by Eric Gudgion November 22, 2021 Data Science H2O AI Cloud

We consistently work with our partners on innovative ways to use models in production here at H2O.ai, and we are excited to demonstrate our AWS Redshift integration for model scoring. Amazon Redshift is a very popular data warehouse on AWS. We wanted to expand on the existing capacities of using data from Redshift to train […]

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Building Resilient Supply Chains with AI
by Adam Murphy November 11, 2021 H2O AI Cloud

A global pandemic, a fundamental shift in the demand for goods and services worldwide, and the recent blockage of a major international trade route have all highlighted the need to build and maintain resilient supply chains. At the foundation of resilient supply chains lie accurate and reliable forecasts. The majority of traditional software systems rely […]

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Introducing the H2O.ai Wildfire Challenge
by Jo-Fai Chow November 5, 2021 AI4Good H2O AI Cloud Wave

We are excited to announce our first AI competition for good – H2O.ai Wildfire Challenge. We’ve structured this challenge to be a global collaborative effort to do good for the world that we share. We want teams to submit their ideas and applications freely, knowing that other teams will learn from what they’ve done to improve […]

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MLB Player Digital Engagement Forecasting
by Jo-Fai Chow October 29, 2021 Kaggle Machine Learning

Are you a baseball fan? If so, you may notice that things are heating up right now as the Major League Baseball (MLB) World Series between Houston Astros and Atlanta Braves tied at 1-1. MLB Postseason 2021 Results as of October 28 (source) This also reminded me of the MLB Player Digital Engagement Forecasting competition […]

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Announcing the H2O AI Feature Store
by Vinod Iyengar October 28, 2021 H2O AI Cloud Product Updates

We’re really excited to announce the H2O AI Feature Store – The only intelligent feature store in the market. We’ve been working on this for many months with our co-development partner: AT&T. This enabled us to build a first-of-its-kind platform that is designed to be enterprise-grade from day 1. It is built with best-of-breed technology […]

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