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.
Webcast: Distributed deep learning on Spark June 15, 2016
Alexander Ulanov offers an overview of a number of different tools and frameworks that have been proposed for performing deep learning on Spark and compares them.