Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Schedule: Retail sessions

11:00am11:40am Wednesday, March 15, 2017
Data science & advanced analytics
Location: 210 C/G Level: Intermediate
Feng Zhu (Clobotics), Valentine Fontama (Microsoft)
Average rating: ****.
(4.71, 7 ratings)
Although deep learning has proved to be very powerful, few results are reported on its application to business-focused problems. Feng Zhu and Val Fontama explore how Microsoft built a deep learning-based churn predictive model and demonstrate how to explain the predictions using LIME—a novel algorithm published in KDD 2016—to make the black box models more transparent and accessible. Read more.
2:40pm3:20pm Thursday, March 16, 2017
Eric Colson (Stitch Fix)
Average rating: ****.
(4.36, 14 ratings)
Data scientists blend the skills of statisticians, software engineers, and domain experts to create new roles. Data science isn't merely an amalgam of disciplines but rather a gestalt which synthesizes the ethos of various fields. This merits new thinking when it comes to organization. Eric Colson explores some novel—and often unintuitive—ways to unleash the value of your data science team. Read more.