Information Theory, Inference and Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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David J. C. MacKay 作者

Cambridge University Press

译者

2003-10-6 出版日期

640 页数

USD 80.00 价格

Hardcover

丛书系列

9780521642989 图书编码

Information Theory, Inference and Learning Algorithms 在线电子书图书标签: 机器学习信息论人工智能计算机数学 AI Inference 计算机科学

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发表于2025-01-11

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Information Theory, Inference and Learning Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Information Theory, Inference and Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Information Theory, Inference and Learning Algorithms 在线电子书用户评价

评分☆☆☆☆☆

作者Mackay，要记住的。买了一本中文的，要中英文对照着读。这本书是真是练习内功呀。

评分☆☆☆☆☆

信息论和机器学习是一个硬币的两面。传统的信息论两条理论上的香农，工程应用是通信。具体的：贝叶斯数据模型，蒙特卡洛，变分法，聚类算法，神经网络。大脑是压缩和通信系统

评分☆☆☆☆☆

好书！只看了信息论部分，深入浅出

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“ this exciting textbook”....才知道MacKay去世了，可惜啊。

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好书????圈粉

Information Theory, Inference and Learning Algorithms 在线电子书著者简介

Information Theory, Inference and Learning Algorithms 在线电子书图书目录

Information Theory, Inference and Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Information Theory, Inference and Learning Algorithms 在线电子书图书描述

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 在线电子书下载 mobi epub pdf txt 在线电子书下载

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