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Wednesday, October 17 • 11:55am - 12:05pm
Automated Data Preparation and Machine Learning

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Automated Data Preparation and Machine learning is a paradigm shift that accelerates data scientists’ productivity. Tasks like data pre-processing, cleansing, feature selection, model selection and hyper-parameter tuning can be automated to a certain extent with an Automated Machine Learning framework. The goal is to improve the productivity of data scientists, enable business analysts or citizen data scientists to evaluate a complete business case and use predictive modeling to answer their business problems within a few hours.

avatar for Lars Bauerle

Lars Bauerle

Chief Product Officer, RapidMiner
avatar for Pavithra Rao

Pavithra Rao

Pre-Sales Data Scientist, RapidMiner
Pavithra Rao, Pre-Sales Engineer at RapidMiner Inc. Pavithra has Master Degree in Data Science major from UConn School of Business. Prior to this, she worked as Solution Advisor at Deloitte and Touche for 2 years helping clients in major industrial sectors, identify and address Technology... Read More →

Wednesday October 17, 2018 11:55am - 12:05pm EDT
Deborah Sampson