Information Theory, Inference and Learning Algorithms pdf epub mobi txt 电子书 下载 2025
- 信息论
- 机器学习
- Data_Science.Information
- 信息论
- 机器学习
- 推断
- 算法
- 贝叶斯方法
- 概率图模型
- 统计学习
- 模式识别
- 数据科学
- 人工智能
具体描述
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.
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信息论是我觉得最有用的课程之一，不管是科研，还是现实生活。 首先从信息论的角度看数字编码，从二进制，十进制，再到二十进制，其实是在用越来越多的符号来编码无穷尽的数字。二进制只需要两个符号0，1就可以编码所有数字，每个字符信息量较小，代价就是编码长度及其长，不利...
评分可惜看过了，理解不深刻，又忘了。 准备拾起来，虽然基本上工作用不上，就当是完成一个念想吧！ 加油！
评分可惜看过了，理解不深刻，又忘了。 准备拾起来，虽然基本上工作用不上，就当是完成一个念想吧！ 加油！
评分1.刚从图书馆借到这本书，顺着书中的支持网站，发现作者把公开课视频也免费放到网上了，还可以直接下到英文原版电子版，这是什么精神~ ”A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge Un...
评分可惜看过了，理解不深刻，又忘了。 准备拾起来，虽然基本上工作用不上，就当是完成一个念想吧！ 加油！
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