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2025-04-02

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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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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。

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应当会像PRML一样称雄Machine Learning榜单至少四五年吧

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太执着于一个学派也不好。大坑慎入。 Important chapters 4 me: Chaps.3-12, 14, 17, 19 & 25.

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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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欲仙欲死啊~~

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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