Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載


Information Theory, Inference and Learning Algorithms

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Information Theory, Inference and Learning Algorithms pdf epub mobi 圖書描述

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook 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. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in 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, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載

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Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載

Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載

Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載



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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

我感覺啊,這本書寫的條理很清晰,可是太簡明扼要瞭好像,我讀不懂。可我碰到的問題上麵有介紹,我又沒找到其它地方,我隻有讀這個,可我讀不懂。我鬱悶。  

評分

信息論是我覺得最有用的課程之一,不管是科研,還是現實生活。 首先從信息論的角度看數字編碼,從二進製,十進製,再到二十進製,其實是在用越來越多的符號來編碼無窮盡的數字。二進製隻需要兩個符號0,1就可以編碼所有數字,每個字符信息量較小,代價就是編碼長度及其長,不利...  

評分

學習信息論的時候,老師推薦的,然後就買來瞭。實例很多,習題也很經典,花費瞭一個學期看瞭一遍,感覺對信息論的理解完全高瞭好多個層次。  

評分

信息論是我覺得最有用的課程之一,不管是科研,還是現實生活。 首先從信息論的角度看數字編碼,從二進製,十進製,再到二十進製,其實是在用越來越多的符號來編碼無窮盡的數字。二進製隻需要兩個符號0,1就可以編碼所有數字,每個字符信息量較小,代價就是編碼長度及其長,不利...  

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出版者:Cambridge University Press
作者:David J. C. MacKay
出品人:
頁數:0
譯者:
出版時間:2015-1-1
價格:USD 33.00
裝幀:Paperback
isbn號碼:9780521670517
叢書系列:

圖書標籤: 信息論  機器學習  Data_Science.Information   


Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載
想要找書就要到 本本書屋
立刻按 ctrl+D收藏本頁
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Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 電子書 下載


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