Machine Learning pdf epub mobi txt 电子书 下载 2025
Kevin P. Murphy is Associate Professor in the Department of Computer Science and in the Department of Statistics at the University of British Columbia.
- 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
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.
具体描述
读后感
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
评分我们正准备读这本书，Machine Learning A Probabilistic Perspective 读书会请加qq群177217565，也讨论Pattern Recognition And Machine Learning。
评分我们正准备读这本书，Machine Learning A Probabilistic Perspective 读书会请加qq群177217565，也讨论Pattern Recognition And Machine Learning。
评分纯搬运。 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...
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...
用户评价
感觉有点泛泛
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。
评分看的时候不会写代码。可视化做的异常好。
评分看的时候不会写代码。可视化做的异常好。
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