H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.
Recipes are customizations and extensions to the Driverless AI platform. These can be custom machine learning models, transformers, or scorers (classification or regression), written in Python. Data scientists can bring their own recipes or leverage the open-source recipes available by the community and curated by H2O.ai data science experts.
In this webinar, Michelle Tanco, Customer Solutions Engineer and Data Scientist at H2O.ai, will provide an overview of the recipes catalog, highlight recipes to look forward to in the coming months, and examples of how to use these recipes to your advantage.
What you will learn:
- How recipes work
- Available and upcoming recipes
- Benefits of recipes
- How to use recipes
Presenter:
Michelle Tanco, Customer Solutions Engineer and Data Scientist at H2O.ai