具體描述
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.
用戶評價
##可惜看過瞭，理解不深刻，又忘瞭。 準備拾起來，雖然基本上工作用不上，就當是完成一個念想吧！ 加油！
評分##一半棄讀
評分##好書?圈粉 1.剛從圖書館藉到這本書，順著書中的支持網站，發現作者把公開課視頻也免費放到網上瞭，還可以直接下到英文原版電子版，這是什麼精神~ ”A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge Un...
評分 評分信息論和機器學習是一個硬幣的兩麵。傳統的信息論兩條理論上的香農，工程應用是通信。具體的：貝葉斯數據模型，濛特卡洛，變分法，聚類算法，神經網絡。大腦是壓縮和通信係統
評分 評分 評分信息論和機器學習是一個硬幣的兩麵。傳統的信息論兩條理論上的香農，工程應用是通信。具體的：貝葉斯數據模型，濛特卡洛，變分法，聚類算法，神經網絡。大腦是壓縮和通信係統
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