Machine Learning 在線電子書 圖書標籤: 機器學習 MachineLearning 數據挖掘 計算機 計算機科學 概率 統計 人工智能
發表於2024-12-23
Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
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評分machine learning教材
評分翻瞭兩章果斷放下。不懂的人看不懂,懂的人看你乾嘛。‘全’是逼格最低的優點。
評分CSCI 567 Machine Learning 教材。
評分翻瞭兩章果斷放下。不懂的人看不懂,懂的人看你乾嘛。‘全’是逼格最低的優點。
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。
評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...
評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。
評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...
Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024