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Automatic Feature Engineering for Text Analytics – The Latest Addition to Our Kaggle Grandmasters’ Recipes
by Web Inertia September 12, 2018 Data Science GPU H2O Driverless AI NLP

According to Kaggle’s ‘The State of Machine Learning and Data Science’ survey, text data is the second most used data type at work for data scientists. There are a lot of interesting text analytics applications like sentiment prediction, product categorization, document classification and so on. In the latest version (1.3) of our Driverless AI platform, […]

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ensemble
Stacked Ensembles and Word2Vec now available in H2O!
by Erin LeDell February 8, 2017 Data Munging Ensembles H2O Release NLP Python R Technical

Prepared by: Erin LeDell and Navdeep Gill Stacked Ensembles H2O’s new Stacked Ensemble method is a supervised ensemble machine learning algorithm that finds the optimal combination of a collection of prediction algorithms using a process called stacking or “Super Learning.” This method currently supports regression and binary classification, and multiclass support is planned for a […]

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