Information Theory, Inference and Learning Algorithms

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


简体网页||繁体网页
David J. C. MacKay



下载链接1
下载链接2
下载链接3
    


想要找书就要到 图书大百科
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

发表于2025-04-30

类似图书 点击查看全场最低价

图书介绍

Cambridge University Press 2003-10-6 Hardcover 9780521642989


相关图书





图书描述

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 下载 mobi epub pdf txt 电子书 格式

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

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

Information Theory, Inference and Learning Algorithms 下载 mobi epub pdf 电子书
想要找书就要到 图书大百科
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

用户评价

评分

评分

评分

评分

##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...  

评分

评分

评分

##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。

评分

评分

##Mackay在我心中是一个多才多艺的天才,他重新发现了LDPC码的价值,使得这一具有革命性影响的信道码没有沉没在故纸堆中。这本书神奇地把数据压缩、通信理论、神经网络甚至是分布式算法这些我们在多门课程中学习的东西统一到了统计尤其是Bayesian统计的大框架下来,使得我们的...  

类似图书 点击查看全场最低价

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


分享链接








相关图书


本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

友情链接

© 2025 book.qciss.net All Rights Reserved. 图书大百科 版权所有