Machine Learning Times
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Wise Practitioner – Predictive Analytics Interview Series: Oscar Porto and Fábio Ferraretto at DHAUZ
 In anticipation of their upcoming presentation at Predictive Analytics...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Predictive Analytics...
Podcast: Real-Time Machine Learning: Why It’s Vital and How to Do It
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Aric LaBarr, Institute for Advanced Analytics at NC State University
 In anticipation of his upcoming presentation at Predictive Analytics...
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4 years ago
Robotic Modeler for Marketing Campaigns

 SUMMARY: Automated modeling is already in focus by practitioners. However, applications for marketing campaigns require significant effort in data preparation for modeling. To address this bottleneck, the robotic modeler integrates a front layer, which automatically scrolls all executed campaigns and prepares data ready for modeling, with a machine learning engine. It enables for a totally automated cycle of campaign backend modeling, generates a scoring code, and produces supportive documentation. The robotic modeler framework supports generalized deep learning assembling business targets and features. Systematically running the robotic modeler provides additional benefits such as perceiving input feature importance from various

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