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

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David J. C. MacKay 作者

Cambridge University Press

譯者

2003-10-6 出版日期

640 頁數

USD 80.00 價格

Hardcover

叢書系列

9780521642989 圖書編碼

Information Theory, Inference and Learning Algorithms 在線電子書圖書標籤: 機器學習信息論人工智能計算機數學 AI Inference 計算機科學

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發表於2024-12-31

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

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

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

Information Theory, Inference and Learning Algorithms 在線電子書用戶評價

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教科書的榜樣

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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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有點難，但是我覺得寫的挺好的。

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: G201/M153

Information Theory, Inference and Learning Algorithms 在線電子書著者簡介

Information Theory, Inference and Learning Algorithms 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Information Theory, Inference and Learning Algorithms 在線電子書圖書描述

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 在線電子書下載 mobi epub pdf txt 在線電子書下載

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