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An Introduction to Time Series Modeling:
Time Series Preprocessing and Feature Engineering
by Megan Maxwell October 26, 2021 Time Series

Time is the only nonrenewable resource – Sri Ambati, Founder and CEO, H2O.ai. Prediction is very difficult, especially if it’s about the future – Niels Bohr, Nobel Prize-Winning Physicist. Despite its inherent difficulty, every business needs to make predictions. You may want to forecast sales or estimate demand or gauge future inventory levels. Perhaps you […]

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New Features Now Available with the Latest Release of the H2O AI Hybrid Cloud 21.10
by Mary Beth Moore October 18, 2021 H2O AI Hybrid Cloud H2O Release

The Makers here at H2O.ai have been busy building new features and enhancing capabilities across our AI platform. Designed to support our core mission of democratizing AI, these additions to our platform simplify the ability to make AI you can trust, operate it efficiently and innovate with ready-made AI applications. Launched in January of 2021, […]

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Time Series Forecasting Best Practices
by Jo-fai Chow October 15, 2021 H2O AI Hybrid Cloud Technical Posts Time Series

Earlier this year, my colleague Vishal Sharma gave a talk about time series forecasting best practices. The talk was well-received so we decided to turn it into a blog post. Below are some of the highlights from his talk. You can also follow the two software demos and try it yourself using our H2O AI […]

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Improving NLP Model Performance with Context-Aware Feature Extraction
by Jo-fai Chow October 8, 2021 H2O AI Hybrid Cloud NLP Technical Posts

I would like to share with you a simple yet very effective trick to improve feature engineering for text analytics. After reading this article, you will be able to follow the exact steps and try it yourself using our H2O AI Hybrid Cloud. First of all, let’s have a look at the off-the-shelf natural language […]

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Feature Transformation with the H2O AI Hybrid Cloud
by Mary Beth Moore October 7, 2021 H2O AI Hybrid Cloud

It is well known throughout the data science community that data preparation, pre-processing, and feature engineering are one of the most cumbersome parts of the data science workload. So as we continue to innovate here at H2O.ai with our end-to-end automated machine learning (autoML) capabilities, we challenged ourselves to evolve the process of feature engineering […]

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Introducing DatatableTon – Python Datatable Tutorials & Exercises
by Jo-fai Chow September 20, 2021 datatable Open Source Python Tutorials

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 […]

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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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From the game of Go to Kaggle: The story of a Kaggle Grandmaster from Taiwan
by parul September 13, 2021 Kaggle Makers

In conversation with Kunhao Yeh: A Data Scientist and Kaggle Grandmaster In these 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 to be a Kaggle […]

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