Probability Companion For Engineering And Computer Science - Prügel-Bennett, Adam

Probability Companion For Engineering And Computer Science

Adam Prügel-Bennett

Yayınevi: Cambridge University Press

Yayın tarihi: 11/2019

ISBN: 9781108727709

İngilizce | 450 Sayfa | 25,3 x 17,7 cm.

Tür: Matematik-İstatistik

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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.

Some sixty-four exercises and ninety-one worked examples feature real-world scenarios
Hundreds of diagrams illustrate concepts and results to help readers visualise concepts and improve intuition
Detailed mathematical derivations are built for clarity rather than complete rigour

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