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Three Keys to Ethical Artificial Intelligence in Your Organization
by Blair Averett September 23, 2022 AI4Good Machine Learning

There’s certainly been no shortage of examples of AI gone bad over the past few years–enough to give everyone pause on how (and if) this technology can truly be used for good.  If it’s not Facebook selling data of its users, it’s self-driving cars from Uber that can’t recognize pedestrians in time to slow down […]

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Make with H2O.ai Recap: Validation Scheme Best Practices
by Blair Averett August 23, 2022 Data Science Kaggle Machine Learning Make with H2O.ai

Data Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with H2O.ai session on validation scheme best practices, our second accuracy masterclass. The session covered key concepts, different validation methods, data leaks, practical examples, and validation and ensembling.  Key Concepts While the validation topics covered are applicable to most models, the session focused on […]

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Improving Manufacturing Quality with H2O.ai and Snowflake
by Mary Beth Moore June 3, 2022 Cloud Computer Vision H2O AI Cloud Machine Learning Manufacturing Snowflake

Manufacturers are rapidly expanding their machine learning use cases by leveraging the deep integration between Snowflake’s Data Cloud and the H2O AI Cloud.  Many current manufacturing quality checks require that sensor data and image data be processed and analyzed separately. Standard tooling presents challenges in storing and referencing these data types together. Often, comparison on […]

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Data Science with H2O.ai: An Introduction to Machine Learning and Predictive Modeling
by h2oai March 16, 2022 Data Science H2O H2O AI Cloud Machine Learning

Our own Jonathan Farland recently recorded a talk about machine learning and predictive modeling. In his talk, Jon also gave an overview of open source H2O and H2O AI Cloud. This video is a great resource for getting up to speed with the latest technology from H2O in half an hour. Some of you may […]

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Unsupervised Learning Metrics
by h2oai February 28, 2022 Machine Learning Technical Technical Posts

That which is measured improves – Karl Pearson, Mathematician. Almost everyone has heard of accuracy, precision, and recall – the most common metrics for supervised learning. But not as many people know the metrics for unsupervised learning. So, in this article, we will take you through the most common methods and how to implement them. […]

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An Introduction to Unsupervised Machine Learning
by h2oai January 31, 2022 Machine Learning Technical Technical Posts

There are three major branches of machine learning (ML): supervised, unsupervised, and reinforcement. Supervised learning makes up the bulk of the models businesses use, and reinforcement learning is behind front-page-news-AI such as AlphaGo. We believe unsupervised learning is the unsung hero of the three, and in this article, we break down four key ways you […]

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MLB Player Digital Engagement Forecasting
by h2oai 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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What it takes to become a World No 1 on Kaggle
by h2oai May 3, 2021 Data Science Kaggle Machine Learning Makers

In conversation with Guanshuo Xu: A Data Scientist, Kaggle Competitions Grandmaster, and a Ph.D. in Electrical Engineering. In this series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. The intention behind these interviews is to motivate and encourage others who want […]

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Grandmaster Series: The inspiring journey of the ‘Beluga’ of Kaggle World 🐋
by h2oai December 14, 2020 Kaggle Machine Learning

In conversation with Gábor Fodor: A Data Scientist at H2O.ai and a Kaggle Competitions’ Grandmaster. In this series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. These interviews are intended to motivate and encourage others who want to understand what it takes […]

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Mitos e verdades sobre o AutoML
by Bruna Smith November 10, 2020 AutoML Beginners Business Community Machine Learning

Todas as revoluções que tivemos até hoje, tanto as tecnológicas quanto industriais, possuem uma semelhança: elas estão ligadas à forma como os seres humanos lidam com as máquinas. Antes, os processos eram feitos de forma muito manual e, com o tempo, acabaram sofrendo uma evolução natural voltada para a automação. Com o aprendizado de máquinas […]

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