Information Theory, Inference and Learning Algorithms epub pdf mobi txt 电子书下载 2025

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David J. C. MacKay

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发表于2025-05-16

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Cambridge University Press 2003-10-6 Hardcover 9780521642989

Information Theory, Inference and Learning Algorithms epub pdf mobi txt 电子书下载 2025

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书籍描述

Sir David John Cameron MacKay FRS FInstP FICE (22 April 1967 – 14 April 2016) was a British physicist, mathematician, and academic. He was the Regius Professor of Engineering in the Department of Engineering at the University of Cambridge and from 2009 to 2014 was Chief Scientific Adviser to the UK Department of Energy and Climate Change (DECC). MacKay authored the book Sustainable Energy – Without the Hot Air.

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Information Theory, Inference and Learning Algorithms epub pdf mobi txt 电子书下载 2025

Information Theory, Inference and Learning Algorithms 下载 epub mobi pdf txt 电子书 2025

Information Theory, Inference and Learning Algorithms pdf 下载 mobi 下载 pub 下载 txt 电子书下载 2025

Information Theory, Inference and Learning Algorithms mobi pdf epub txt 电子书下载 2025

Information Theory, Inference and Learning Algorithms epub pdf mobi txt 电子书下载

想要找书就要到静思书屋

book.idnshop.cc

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读者评价

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##Shannon真的是我男神。很美妙的一套体系，日常查阅必备。有空可以深入读读，会对一些看似莫名其妙的 log 们有更深的体会。

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##可惜看过了，理解不深刻，又忘了。准备拾起来，虽然基本上工作用不上，就当是完成一个念想吧！加油！

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##“ this exciting textbook”....才知道MacKay去世了，可惜啊。

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##信息论是我觉得最有用的课程之一，不管是科研，还是现实生活。首先从信息论的角度看数字编码，从二进制，十进制，再到二十进制，其实是在用越来越多的符号来编码无穷尽的数字。二进制只需要两个符号0，1就可以编码所有数字，每个字符信息量较小，代价就是编码长度及其长，不利...

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##读了一点，组会解散了，于是没有继续下去了，感觉这书讲得好 detail 啊。组会在读的书之一。水木 AI 版有人推荐，有电子版，有时间看一下。看章节标题似乎很不错的样子。

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##学习信息论的时候，老师推荐的，然后就买来了。实例很多，习题也很经典，花费了一个学期看了一遍，感觉对信息论的理解完全高了好多个层次。

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