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Añadir al carritoSoft cover. Condición: 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.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Speedyhen, London, Reino Unido
EUR 53,92
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,92
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 62,61
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 69,00
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . .
Publicado por Cambridge University Press CUP, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 64,16
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 56,74
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Publicado por Cambridge University Press 2020-01-31, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 57,96
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Añadir al carritoHardcover. Condición: New.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,91
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 64,45
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,56
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Añadir al carritoBuch. Condición: 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.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 69,04
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Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 85,15
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 66,08
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Añadir al carritoCondición: 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.
EUR 87,53
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Añadir al carritoHardcover. Condición: Brand New. 424 pages. 10.25x7.25x1.00 inches. In Stock.
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 67,89
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 counterintuitive 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. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 87,27
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 counterintuitive 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. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 91,73
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Añadir al carritoHardcover. Condición: New. New. book.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 55,56
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Añadir al carritoCondición: New.
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 68,38
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 counterintuitive 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. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 63,41
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 62,60
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Añadir al carritoHardcover. Condición: Brand New. 424 pages. 10.25x7.25x1.00 inches. In Stock. This item is printed on demand.
Publicado por Cambridge University Press, 2020
ISBN 10: 1108485065 ISBN 13: 9781108485067
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 68,02
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