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 […]

Datatable is a python library for manipulating tabular data. It supports out-of-memory datasets, multi-threaded data processing and has a flexible API. If this reminds you of R’s data.table, you are spot on because Python’s datatable package is closely related to and inspired by the R library. The release of v1.0.0 was done on 1st July, 2021 and it’s probably […]

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 […]

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 […]

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 […]

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 […]

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 […]

For almost a decade, H2O.ai has worked to build open source and commercial products that are on the leading edge of innovation in machine learning, from AutoML to Explainable AI. We are thrilled to announce the release of what we believe to be the future of AI Applications: H2O Wave. Wave is an 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 RuleFit — an interpretable machine learning algorithm, introduced a new toolbox for model explainability, made Target Encoding work for all classes of problems, and integrated it in our AutoML framework. On […]

Sparkling Water is about making machine learning simple, speedy, and scalable with Apache Spark. This blog provides an overview of the following new features:  No H2O Client on Spark Driver Speedups Automatic String conversion to Categoricals No H2O Client on Spark Driver Previously, Sparkling Water always started worker nodes either on Spark executors in case […]