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
发表于2025-04-18
Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
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
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。
评分内容较新及全面。
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。
评分看的时候不会写代码。可视化做的异常好。
Kevin P. Murphy is Associate Professor in the Department of Computer Science and in the Department of Statistics at the University of British Columbia.
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.
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-----------------------------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
评分哥们就是一个苦逼的本科小民工啊,在ml上完全没有受到过系统的学习,从大约1年半前开始接触机器学习至今,总共看过AG的video,看过《机器学习》和《模式分类》,后来又看了李航的《统计学习方法》,啃过《prml》,学到的东西总感觉零零散散,由于远离ml的圈子,缺乏对这个领域...
评分为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这么高?谁学过,谁学完了?为什么评分这...
Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025