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In den WarenkorbSoft cover. Zustand: New. This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counter-intuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. In addition, important structural and complexity measures, such as matrix norms and VC-dimension, are discussed. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. This beautifully written text is a scholarly journey through the mathematical and algorithmic foundations of data science. Rigorous but accessible, and with many exercises, it will be a valuable resource for advanced undergraduate and graduate classes. Peter Bartlett, University of California, Berkeley. A lucid account of mathematical ideas that underlie today's data analysis and machine learning methods. I learnt a lot from it, and I am sure it will become an invaluable reference for many students, researchers and faculty around the world. Sanjeev Arora, Princeton University, New Jersey.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
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In den WarenkorbZustand: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
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In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
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In den WarenkorbZustand: New.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
Anbieter: Kennys Bookstore, Olney, MD, USA
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In den WarenkorbZustand: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
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In den WarenkorbHardcover. Zustand: Brand New. 424 pages. 10.25x7.25x1.00 inches. In Stock.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
Anbieter: Speedyhen, London, Vereinigtes Königreich
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In den WarenkorbZustand: NEW.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
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In den WarenkorbZustand: New. This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of algorithms for data. The material in this book will provide students with the mathematical background they need for further study and resear.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 69,56
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of algorithms for data. The material in this book will provide students with the mathematical background they need for further study and research in machine learning, data mining, and data science more generally.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Sprache: Englisch
Anbieter: preigu, Osnabrück, Deutschland
EUR 73,75
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In den WarenkorbBuch. Zustand: Neu. Foundations of Data Science | Avrim Blum (u. a.) | Buch | Gebunden | Englisch | 2020 | Cambridge University Press | EAN 9781108485067 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.