The Probability Companion for Engineering and Computer Science (Paperback)

Prügel-Bennett, Adam

商品描述

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.

商品描述(中文翻譯)

這本友善的指南是您將純數學轉化為對一系列概率工具的理解和應用所需的伴侶。該書提供了概率及其最強大應用的高層次概述。它從基本的概率規則開始,迅速進展到一些最先進的現代技術,包括卡爾曼濾波器、蒙特卡洛方法、機器學習方法、貝葉斯推斷和隨機過程。它借鑒了三十年在計算科學和工程問題中應用概率方法的經驗,並通過大量實際例子說明了這些技術在現實世界中的應用。討論的主題範圍從碳定年到 Wasserstein GANs,這是深度學習中最新的發展之一。書中呈現了相關的數學內容,但清晰度優先於完全嚴謹,使得這本書成為研究人員的起始參考資料和學生的可讀概述。