Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Kevin P·Murphy 作者

The MIT Press

译者

2012-9-18 出版日期

1096 页数

USD 90.00 价格

Hardcover

Adaptive Computation and Machine Learning 丛书系列

9780262018029 图书编码

Machine Learning 在线电子书图书标签: 机器学习 MachineLearning 数据挖掘计算机计算机科学概率统计人工智能

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Machine Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Machine Learning 在线电子书用户评价

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看的时候不会写代码。可视化做的异常好。

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Chapter 1-3, 07.09.2019; C4 (Gaussian models) 07.12; C5 (Bayesian statistics) 07.19;C6 (Frequentist statistics) 07.20; C7 (Linear regression) 07.29; C8 (Logistic regression) 08.22

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Probabilistic ML课本，就写作业看看，错误连篇。。。

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:无

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应当会像PRML一样称雄Machine Learning榜单至少四五年吧

Machine Learning 在线电子书著者简介

Kevin P. Murphy is Associate Professor in the Department of Computer Science and in the Department of Statistics at the University of British Columbia.

Machine Learning 在线电子书图书目录

Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Machine Learning 在线电子书图书描述

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

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Machine Learning 在线电子书读后感

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Awesome! 1. 与这本书的缘分竟始于化学系图书馆(没有其它两本，PRML or the Elements，也许因为K Murphy是校友的缘故。。不过C Bishop就在附近的Microsoft啊) 最终在黑五我还是买了这本书，装帧结实漂亮；留白够多，这样可以随意增添喜欢的内容和推导。英Amazon比较厚道，便宜...

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纯搬运。来自：https://www.cs.ubc.ca/~murphyk/MLbook/errata.html 提交新的bug fix：https://docs.google.com/forms/d/e/1FAIpQLSdOXvmnvuIQn__t0xPyTErj53L-qo_RerImgKbXV4VfLDI6SQ/viewform?formkey=dEp2U2hRWXVpMU5nd05YcEJKVFNUdmc6MQ - preface: added printing hi...

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判别模型几乎没怎么讲。。后面各种生成模型，贝叶斯网、随机场、MCMC、HMM。 ==========================================================================================================================================================

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断断续续读了本书几章内容，并扫了一眼全书，个人感觉这本书就是一本大杂烩。这本书涉及的内容很广，概率图模型、GLM、Nonparametric Method，甚至最近比较火的Deep Learning也包括了。但是，感觉很多地方讲的不是很细致，每每读到关键地方，都有种嘎然而止的感觉。不过还好...

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另外的两本分别是PRML和ESLII。这本书的成书时间最晚，刚出的时候特意花了90刀从亚马逊买的。先说说优点：新，全！刚说了，相对于另外两本书，由于成书时间较晚，所以涵盖了更多最近几年的hot topic，比如Dirichlet Process，在其他另外两本书中都没有提到过。更重要的，是...

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Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025