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.
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.
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