Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
Language: English
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Published by Cambridge University Press CUP, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
Language: English
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Paperback. Condition: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Published by Cambridge University Press -, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Add to basketPaperback. Condition: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 457 pages. 9.75x7.00x1.00 inches. In Stock.
Published by Cambridge University Press, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Add to basketCondition: New. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those sta.
Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
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Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Add to basketPaperback. Condition: new. Paperback. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Hardcover. Condition: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Published by Cambridge University Press, 2020
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Published by Cambridge University Press, 2020
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Published by Cambridge University Press Mär 2020, 2020
ISBN 10: 1108727700 ISBN 13: 9781108727709
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Add to basketTaschenbuch. Condition: Neu. Neuware - Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.
Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students. This guide helps undergraduate and graduate students convert pure mathematics into understanding and facility with a host of probabilistic tools. From the basic rules of probability it expands to the most sophisticated modern techniques, equipping those starting their careers and providing a handy reference for professionals and researchers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 457 pages. 10.50x7.25x1.00 inches. In Stock.
Published by Cambridge University Press, 2020
ISBN 10: 1108480535 ISBN 13: 9781108480536
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.