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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.

Speakers
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... Read More →


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

Attendees (41)