PAPIs 2018

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.