发表于2024-11-21
Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 电子书
我感觉啊,这本书写的条理很清晰,可是太简明扼要了好像,我读不懂。可我碰到的问题上面有介绍,我又没找到其它地方,我只有读这个,可我读不懂。我郁闷。
评分我感觉啊,这本书写的条理很清晰,可是太简明扼要了好像,我读不懂。可我碰到的问题上面有介绍,我又没找到其它地方,我只有读这个,可我读不懂。我郁闷。
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...
评分我感觉啊,这本书写的条理很清晰,可是太简明扼要了好像,我读不懂。可我碰到的问题上面有介绍,我又没找到其它地方,我只有读这个,可我读不懂。我郁闷。
评分我感觉啊,这本书写的条理很清晰,可是太简明扼要了好像,我读不懂。可我碰到的问题上面有介绍,我又没找到其它地方,我只有读这个,可我读不懂。我郁闷。
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
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.
机器学习领域中的 Feynman。
评分“ this exciting textbook”....才知道MacKay去世了,可惜啊。
评分教科书的榜样
评分早年读的,当时的感觉是深入但不浅出。适合做参考,作主打可能会事倍功半。
评分读了一点,组会解散了,于是没有继续下去了,感觉这书讲得好 detail 啊。 组会在读的书之一。 水木 AI 版有人推荐,有电子版,有时间看一下。看章节标题似乎很不错的样子。
Information Theory, Inference and Learning Algorithms 2024 pdf epub mobi 电子书