Vitaly Kuznetsov is a research scientist at Google, where he focuses on the design and implementation of machine learning tools and algorithms for time series modeling, forecasting, and anomaly detection for a variety of practical applications ranging from supply forecasting for search ads to demand estimation in networks. Vitaly has contributed to a number of different areas in machine learning, including structured prediction, ensemble learning, deep learning, and the development of the theory and algorithms for forecasting nonstationary time series. He holds a PhD in mathematics from the Courant Institute of Mathematical Sciences at New York University.
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