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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发表于2025-03-31

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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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不够系统，有点乱，小错有点多。瑕不掩瑜，仍是经典。Machine Learning就两本书，PRML和这本。

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很完整的推导，适合写代码参考

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经典教材

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这本书优点就是很全面，千余页的大部头，啥都有。缺点也是很全面，每一个点都不太细致，还需要自己去找论文看。

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简单求知好快乐 // 当初退课了，下一年wfh节奏稳的话可以再上再读

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.

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

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Machine Learning 在线电子书读后感

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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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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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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

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