Machine Learning 2025 pdf epub mobi 電子書下載

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Machine Learning pdf epub mobi 著者簡介

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 pdf epub mobi 圖書描述

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 2025 pdf epub mobi 電子書下載

Machine Learning pdf epub mobi 圖書目錄

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發表於2025-01-22

Machine Learning 2025 pdf epub mobi 電子書下載

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Machine Learning pdf epub mobi 讀後感

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斷斷續續讀瞭本書幾章內容，並掃瞭一眼全書，個人感覺這本書就是一本大雜燴。這本書涉及的內容很廣，概率圖模型、GLM、Nonparametric Method，甚至最近比較火的Deep Learning也包括瞭。但是，感覺很多地方講的不是很細緻，每每讀到關鍵地方，都有種嘎然而止的感覺。不過還好...

評分☆☆☆☆☆

這本書的作者試圖把機器學習進行全景式地展現，根據我有限的機器學習知識，作者把機器學習該有的都涵蓋瞭。這樣做一個非常大的缺陷就是東西太多，講的不夠深入，許多例子都是非常籠統，沒有做詳細解釋，就給瞭一個圖，隨便說瞭幾句，對於一個初學者，怎麼可能理解的瞭。書中...

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哥們就是一個苦逼的本科小民工啊，在ml上完全沒有受到過係統的學習，從大約1年半前開始接觸機器學習至今，總共看過AG的video，看過《機器學習》和《模式分類》，後來又看瞭李航的《統計學習方法》，啃過《prml》，學到的東西總感覺零零散散，由於遠離ml的圈子，缺乏對這個領域...

評分☆☆☆☆☆

這是我為本書第四次（我買的是第六次印刷，但是是一樣的）印刷寫的勘誤錶：https://github.com/ks838/Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing

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出版者:The MIT Press

作者:Kevin P·Murphy

出品人:

頁數:1096

譯者:

出版時間:2012-9-18

價格:USD 90.00

裝幀:Hardcover

isbn號碼:9780262018029

叢書系列:Adaptive Computation and Machine Learning

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

Machine Learning 2025 pdf epub mobi 電子書下載

想要找書就要到本本書屋

onlinetoolsland.com

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

Machine Learning pdf epub mobi 用戶評價

評分☆☆☆☆☆

簡單求知好快樂 // 當初退課瞭，下一年wfh節奏穩的話可以再上再讀

評分☆☆☆☆☆

Chapter 1-3, 07.09.2019; C4 (Gaussian models) 07.12; C5 (Bayesian statistics) 07.19;C6 (Frequentist statistics) 07.20; C7 (Linear regression) 07.29; C8 (Logistic regression) 08.22

評分☆☆☆☆☆

這本書優點就是很全麵，韆餘頁的大部頭，啥都有。缺點也是很全麵，每一個點都不太細緻，還需要自己去找論文看。

評分☆☆☆☆☆

剛剛翻自己mark過的讀過的書，發現18-19年的讀書痕跡有點淡。大概因為很多時間花在讀課本讀雜誌上麵瞭。

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Machine Learning 2025 pdf epub mobi 電子書下載