Machine Learning pdf epub mobi txt 电子书下载 2024

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Kevin P·Murphy

The MIT Press

2012-9-18

1096

USD 90.00

Hardcover

Adaptive Computation and Machine Learning

9780262018029

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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发表于2024-11-05

Machine Learning epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Machine Learning pdf epub mobi txt 电子书下载 2024

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.

Machine Learning 下载 mobi epub pdf txt 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.

图书目录

Machine Learning pdf epub mobi txt 电子书下载

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用户评价

评分☆☆☆☆☆

翻了两章果断放下。不懂的人看不懂，懂的人看你干嘛。‘全’是逼格最低的优点。

评分☆☆☆☆☆

内容很全面，但感觉章节安排的顺序可以稍微调整一下。

评分☆☆☆☆☆

CSCI 567 Machine Learning 教材。

评分☆☆☆☆☆

内容很全面，但感觉章节安排的顺序可以稍微调整一下。

评分☆☆☆☆☆

四星给覆盖面。二刷，2019.12.13，有了一个更系统性的认识，但是有一些章节的难度比想象中大。

读后感

评分☆☆☆☆☆

这本书的作者试图把机器学习进行全景式地展现，根据我有限的机器学习知识，作者把机器学习该有的都涵盖了。这样做一个非常大的缺陷就是东西太多，讲的不够深入，许多例子都是非常笼统，没有做详细解释，就给了一个图，随便说了几句，对于一个初学者，怎么可能理解的了。书中...

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

这是我为本书第四次（我买的是第六次印刷，但是是一样的）印刷写的勘误表：https://github.com/ks838/Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing

评分☆☆☆☆☆

-----------------------------读完第三章更新------------------------------ 啪啪啪啪啪啪啪啪啪啪啪，先自扇十个大耳光。这本书还是不错的，很深，我写了个第三章的笔记，欢迎拍砖。http://book.douban.com/annotation/23203104/ 第三章可读性比第二章好得多，但是说实话还...

评分☆☆☆☆☆

数学本来就弱，啃英文更苦难。。谢谢大家分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分享。分...

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Machine Learning pdf epub mobi txt 电子书下载 2024