Algorithmic Aspects of Machine Learning - Moitra, Ankur
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Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

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Produktbeschreibung
Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.
Autorenporträt
Ankur Moitra is the Rockwell International Associate Professor of Mathematics at Massachusetts Institute of Technology. He is a principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL), a core member of the Theory of Computation Group, Machine Learning@MIT, and the Center for Statistics. The aim of his work is to bridge the gap between theoretical computer science and machine learning by developing algorithms with provable guarantees and foundations for reasoning about their behavior. He is a recipient of a Packard Fellowship, a Sloan Fellowship, an National Science Foundation (NSF) CAREER Award, an NSF Computing and Innovation Fellowship and a Hertz Fellowship.