A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students in computer science, data science, and electrical engineering. With foreword by Emmanuel Candes.
Pris: kr 779.00 fra Norli
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kr 779.00 | Besøk butikk |
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book...
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Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important grounding for students, researchers, and practitioners. This compact, self-contained text covers the...
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<P><STRONG>Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis</STRONG></P><P>Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded...
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This reference text offers a clear unified treatment for graduate students, academic researchers, and professionals interested in understanding and developing statistical procedures for high-dimensional data that are robust to idealized modeling assumptions,...
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