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First Course Random Matrix by Potters Marc (25 results)
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
£ 33.18
Convert currency£ 5.60 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Fine.
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A First Course in Random Matrix Theory
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects.
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First Course in Random Matrix Theory : For Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New.
-
A First Course in Random Matrix Theory
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New.
-
A First Course in Random Matrix Theory
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New.
-
First Course in Random Matrix Theory : For Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: As New. Unread book in perfect condition.
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A First Course in Random Matrix Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Hardcover. Condition: new. Hardcover. The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists. Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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A First Course in Random Matrix Theory
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 61.22
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 64.66
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 300 pages. 9.75x6.75x0.75 inches. In Stock.
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First Course in Random Matrix Theory : For Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 61.21
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 71.53
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2021
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
First Edition
£ 72.32
Convert currency£ 7.44 shipping from Canada to U.S.A.Quantity: Over 20 available
Add to basketHardcover. Condition: New. 1st Edition. Special order direct from the distributor.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press CUP, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. Hardcover. . . . . .
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First Course in Random Matrix Theory : For Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 70.46
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New.
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FIRST COURSE IN RANDOM MATRIX THEORY
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 54.47
Convert currency£ 41 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: NEW.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Condition: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
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A First Course in Random Matrix Theory
Published by Cambridge University Press Jan 2021, 2021
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 71.85
Convert currency£ 27.11 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 87.26
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 300 pages. 9.75x6.75x0.75 inches. In Stock.
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A First Course in Random Matrix Theory: For Physicists, Engineers and Data Scientists
Seller: Buchpark, Maidenhead, Berkshire, United Kingdom
Seller rating 4 out of 5 stars
£ 35.50
Convert currency£ 65 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Fine. Condition: Fine | Pages: 370 | Language: English | Product Type: Books.
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A First Course in Random Matrix Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 65.49
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists. Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 69.95
Convert currency£ 41.60 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New. Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world ap.
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A First Course in Random Matrix Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
£ 104.68
Convert currency£ 27.54 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists. Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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A First Course in Random Matrix Theory: for Physicists, Engineers and Data Scientists
Published by Cambridge University Press, 2020
ISBN 10: 1108488080 ISBN 13: 9781108488082
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 67.47
Convert currency£ 14.97 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 822.
