Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Alexander Ulanov

Alexander Ulanov
Senior Research Engineer, Hewlett Packard Labs


Alexander Ulanov is a senior researcher at Hewlett Packard Labs, where he focuses his research on machine learning on a large scale. Currently, Alexander works on deep learning and graphical models. He has made several contributions to Apache Spark; in particular, he implemented the multilayer perceptron classifier. Previously, he worked on text mining, classification and recommender systems, and their real-world applications. Alexander holds a PhD in mathematical modeling from the Russian Academy of Sciences.


11:00am–11:30am Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Alexander Ulanov (Hewlett Packard Labs)
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Alexander Ulanov outlines a scalable implementation of deep neural networks for Spark, which uses batch BLAS operations to speed up the computations, employs Spark data parallelism for scaling, and provides friendly and extensible user and developer interfaces. Read more.