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Bias and Debiasing
by Jo-Fai Chow April 15, 2022 Explainable AI H2O

An important aspect of practicing machine learning in a responsible manner is understanding how models perform differently for different groups of people, for instance with different races, ages, or genders. Protected groups frequently have fewer instances in a training set, contributing to larger error rates for those groups. Some models may produce very different average […]

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Data Science with H2O.ai: An Introduction to Machine Learning and Predictive Modeling
by Jo-Fai Chow 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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H2O Release 3.36 (Zorn)
by Jo-fai Chow January 7, 2022 H2O H2O Release Open Source

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release are Distributed Uplift Random Forest, an algorithm typically used in marketing and medicine to model uplift, and Infogram, a new research direction in machine learning that focuses on interpretability and fairness in Admissible […]

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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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H2O Release 3.34 (Zizler)
by Jo-fai Chow September 15, 2021 H2O H2O Release Open Source

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve added Extended Isolation Forest for improved results on anomaly detection problems, and we’ve implemented the Type III SS test (ANOVAGLM) and the MAXR method to GLM. For existing algorithms, we improved […]

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Visualizing Large Datasets with H2O-3
by parul September 9, 2021 H2O Open Source Tutorials

Exploratory data analysis is one of the essential parts of any data processing pipeline. However, when the magnitude of data is high, these visualizations become vague. If we were to plot millions of data points, it would become impossible to discern individual data points from each other. The visualized output in such a case is […]

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How Much is My Property Worth?
by Jo-fai Chow May 12, 2021 Community Deep Learning Explainable AI H2O Open Source R

Note: this is a guest blog post by Jaafar Almusaad. How Much is My Property Worth? This is the million-dollar question – both figuratively and literally. Traditionally, qualified property valuers are tasked to answer this question. It’s a lengthy and costly process, but more critically, it’s inconsistent and largely subjective. Mind you, valuation is an […]

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Safer Sailing with AI
by Anastacia Visneski April 1, 2021 Customer Data Science H2O Machine Learning Interpretability Open Source Uncategorized Wave

In the last week, the world watched as responders tried to free a cargo ship that had gone aground in the Suez Canal. This incident blocked traffic through a waterway that is critical for commerce. While the location was an unusual one, ship collisions, allisions, and groundings are not uncommon. With all the technology that […]

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H2O-3 Improvements from Two University Projects
by Jo-fai Chow February 8, 2021 Academic Program H2O Open Source

In September 2019 H2O.ai became a silver partner of the Faculty of Informatics at Czech Technical University in Prague. The main goal of this partnership is to make connections between students and companies to prepare an environment where students can use their knowledge in practice and gain real-work experiences.  In general, within the partnership, a […]

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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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