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How Horse Racing Predictions with Saved a Local Insurance Company $8M a Year
by Liz Pratusevich March 8, 2023 H2O World Machine Learning

In this Technical Track session at H2O World Sydney 2022, SimplyAI’s Chief Data Scientist Matthew Foster explains his journey with machine learning and how applying the H2O framework resulted in significant success on and off the race track. Matthew Foster:  I’m Matthew Foster, the Chief Data Scientist for SimplyAI. So, I’m going to take you […]

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Improving Search Query Accuracy: A Beginner’s Guide to Text Regression with H2O Hydrogen Torch
by Parul Pandey February 28, 2023 H2O Hydrogen Torch Machine Learning

Although search engines are vital to our daily lives, they need help understanding complex user queries. Search engines rely on natural language processing (NLP) to understand the intent behind a user’s query and return relevant results. By formulating a well-formed question, users can provide more precise and specific information about what they are looking for, […]

Read More at NeurIPS 2022
by Blair Averett December 6, 2022 AI for Good Data Science Machine Learning is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, one of the biggest and most prestigious international conferences in artificial intelligence. NeurIPS 2022 will be a Hybrid Conference from Monday, November 28th through Friday, December 9th, with an in-person event at the New Orleans Convention Center during the […]

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A Brief Overview of AI Governance for Responsible Machine Learning Systems
by Blair Averett November 30, 2022 AI Governance Machine Learning Responsible AI

Our paper “A Brief Overview of AI Governance for Responsible Machine Learning Systems” was recently accepted to the Trustworthy and Socially Responsible Machine Learning (TSRML) workshop at NeurIPS 2022 (New Orleans). In this paper, we discuss the framework and value of AI Governance for organizations of all sizes, across all industries and domains. Our paper […]

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

Data Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with 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 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 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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