Not Just Another Black-Box - Extending Driverless AI

Presented by

Lena Rampula, Data Science Engineer, H2O.ai

About this talk

H2O Driverless AI is an automated machine learning platform - performing state of the art feature engineering and model training. Driverless AI will allow you to scale your data science efforts, making it faster to find an optimal solution to a variety of business use cases. At H2O.ai, we empower data scientists to use their domain expertise to extend Driverless AI by adding custom functions for feature engineering, models and scorers using simple Python code snippets. These "recipes" allow you to build your machine learning solution, using ingredients from Driverless AI and your own IP. In this webinar, we will introduce Driverless AI and show how data scientists can extend it, using recipes from the H2O.ai repository or using their own code.

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.