豆瓣评分: 9.3
内容简介
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 alongsi…
作者简介
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 Sustain…
评论
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G201/M153
机器学习领域中的 Feynman。
http://videolectures.net/course_information_theory_pattern_recognition/
http://www.inference.phy.cam.ac.uk/itprnn_lectures/
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。
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。。。