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Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.
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Informazioni sull?autore
Adam Prügel-Bennett is Professor of Electronics and Computer Science at the University of Southampton. He received his Ph.D. in Statistical Physics at the University of Edinburgh, where he became interested in disordered and complex systems. He currently researches in the area of mathematical modelling, optimisation and machine learning and has published many papers on these subjects.
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The Probability Companion for Engineering and Computer Science
Editore:
Cambridge University Press, 2020
ISBN 10: 1108480535
ISBN 13: 9781108480536
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hardcover. Condizione: Very Good. The Probability Companion for Engineering and Computer Science This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9781108480536
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The Probability Companion for Engineering and Computer Science
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Cambridge University Press -, 2020
ISBN 10: 1108480535
ISBN 13: 9781108480536
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hardcover. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Codice articolo 6545-9781108480536
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The Probability Companion for Engineering and Computer Science
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Probability Companion for Engineering and Computer Science
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The Probability Companion for Engineering and Computer Science
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The Probability Companion for Engineering and Computer Science (Hardcover)
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Cambridge University Press, Cambridge, 2020
ISBN 10: 1108480535
ISBN 13: 9781108480536
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Hardcover. Condizione: 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. Codice articolo 9781108480536
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The Probability Companion for Engineering and Computer Science
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FM-9781108480536
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The Probability Companion for Engineering and Computer Science
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