Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Real-time recommendation engines using SAS technology (sponsored by SAS)

1:15pm1:55pm Wednesday, September 27, 2017
Sponsored
Location: 1A 01/02
Average rating: *****
(5.00, 2 ratings)

What you'll learn

  • Learn how to build a recommendation engine using SAS Visual Data Mining and Machine Learning combined with SAS Event Stream Processing

Description

How does your favorite website serve up the perfect content tailored just for you? It’s all based on machine learning, a field whose popularity has been refueled by the rapid advances in computing technology. By providing the ability to continuously adjust machine learning models based on real-time data, you can visualize changes and take action on the new information in real time. Juthika Khargharia explains how to build a recommendation engine to surface these recommendations on real-time data, using SAS Visual Data Mining and Machine Learning combined with SAS Event Stream Processing.

This session is sponsored by SAS.

Photo of Juthika Khargharia

Juthika Khargharia

SAS

Juthika Khargharia is a senior solutions architect at SAS, where she focuses on analytics and data science and helps customers solve business problems using SAS advanced analytics tools to tackle a variety of challenges involving data preparation, data exploration, predictive modeling, machine learning, and visualization. Juthika holds a PhD in astrophysics and planetary sciences from the University of Colorado.