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Join us as we discuss the modern automated machine learning. Here's the agenda for the evening:
6:00 - 6:30 PM: Doors open for networking and pizza
6:30 - 7:30 PM: Presentation
7:30 - 8:00 PM: Q&A
8:00 PM - Meetup Ends
In recent years, the demand for machine learning models has increased drastically, far outpacing the ability of experts to build and maintain them. To enable experts to more efficiently create machine learning solutions, while also providing the ability for non-experts to build respectable models, automated machine learning (AutoML) software has become increasingly available.
H2O’s AutoML can be used for automating the machine learning workflow, which includes automatic training and tuning (i.e., hyperparameter grid search) of many models within a user-specified time-limit. H2O’s Driverless AI takes the AutoML approach to the next level, automating the entire machine learning workflow, including feature engineering, hyperparameter grid search, model interpretation, and automatic model deployment.
This session will highlight and demonstrate H2O’s unified approaches to AutoML.
David Whiting is the Head of Global Training at H2O.ai. David has a Ph.D. in Statistics from Texas A&M University, with a background in computational statistics and big data analytics. He has over 25 years of experience teaching, leading teams, and building and deploying machine learning models to solve real world problems in industry and academia.
In his spare time, David enjoys the outdoors and spending time with his wife and children.