£98.99

Cambridge University Press The Probability Companion for Engineering and Computer Science

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£105.80 £98.17 £99.83 £101.50 £103.16 £104.83 £106.49 09 June 2024 31 October 2024 25 March 2025 16 August 2025 08 January 2026

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87 days · current 226 days 51 days 49 days 82 days 71 days 13 days 0 57 113 170 226 £99 £101 £102 £103 £104 £105 £106 Days at Price

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Price range: £99 - £106

Price levels: 7 different prices over 579 days

Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 January 2020
Listed Since
16 February 2019

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