具体描述
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.
用户评价
##只看了chapter巨多，只看了几个，感觉有点大杂烩。。。但提到的部分都是比较精简，有一种Wasserman的哪本The elements of statistics的即视感。。。不太喜欢这种永远让人忍不住去翻reference的handbook风格。。。
评分 评分 评分##有谁一起学习这本书吗？一起讨论吧QQ:63583981
评分 评分##好书好书太多了，还要继续读第三遍
评分##只看了chapter巨多，只看了几个，感觉有点大杂烩。。。但提到的部分都是比较精简，有一种Wasserman的哪本The elements of statistics的即视感。。。不太喜欢这种永远让人忍不住去翻reference的handbook风格。。。
评分##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。
评分##http://videolectures.net/course_information_theory_pattern_recognition/ http://www.inference.phy.cam.ac.uk/itprnn_lectures/
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