Alessandro Magnani

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Deep learning @walmartlabs

Machine learning finds many applications in e-commerce: search (ranking, query understanding, ...), pricing, entity resolution, product classification, recommendation and more. Deep learning has shown tremendous results in some of these applications. Walmart is actively using and exploring deep learning to improve our current machine learning based solutions and to solve problem that were previously beyond reach. In this talk I will offer an overview of some of the problems where deep learning is either used in production or under development at @walmartlabs.

Alessandro Magnani received his Ph.D. and M.S. from Stanford University in Electrical Engineering. He is currently a distinguished data scientist at @WalmartLabs, working on product classification, attribute extraction, and search. Prior to that, he was a research scientist at Adchemy where he worked on optimization algorithms for online advertising. His current interests are deep learning, machine learning, large scale computing and natural language processing.

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