Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝] pdf epub mobi txt 電子書 下載 2025

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Peter Flach 著

齣版社： Cambridge University Press

ISBN：9781107422223

商品編碼：19456591

包裝：平裝

齣版時間：2013-11-14

頁數：409

正文語種：英文

商品尺寸：24.4x18.8x0.5cm

內容簡介

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

作者簡介

Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the 2012 European Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.

精彩書評

"This textbook is clearly written and well organized. Starting from the basics, the author skillfully guides the reader through his learning process by providing useful facts and insight into the behavior of several machine learning techniques, as well as the high-level pseudocode of many key algorithms."
——Fernando Berzal, Computing Reviews

前言/序言

評分☆☆☆☆☆

給實驗室買的，包裝很好，是正品，物流超級快，內容還沒來得及看。

評分☆☆☆☆☆

很好很好很好很好很好很好很好很好很好很好很好很好

評分☆☆☆☆☆

本書將嚮讀者展示如何從原始數據中發現模式，首先從Python與機器學習的關係講起，再介紹一些庫，然後就開始基於數據集進行比較正式的項目開發瞭，涉及建模、推薦及改進，以及聲音與圖像處理。通過流行的開源庫，我們可以掌握如何高效處理文本、圖片和聲音。同時，讀者也能掌握如何評估、比較和選擇適用的機器學習技術。

評分☆☆☆☆☆

書很好，果凍買的，便宜，講解很細，沒看完。快遞包裝很結實，沒任何問題。京東物流飛快，服務超好。

評分☆☆☆☆☆

不錯的書，推薦大傢購買，做活動，買瞭一大堆計算機的書

評分☆☆☆☆☆

內容且不說，就看印刷。你值得買嗎？反正拿到後滿滿的失望。使用的代碼示例根本看不清楚。這是用蘋果手機拍的，它已經進行瞭銳化處理，看起來比原來還要清楚多瞭。

評分☆☆☆☆☆

主要介紹瞭泛化的綫性迴歸方法和提升方法（包括RF、GBDT），內容不錯，不過可能由於第一次印刷，還存在很多錯誤。

評分☆☆☆☆☆

翻瞭一下，其實也沒啥啊，不過多看看，吸收下經驗也很好～～～活動半價，如果可以跟電子版一起附加就更好瞭～～～～

評分☆☆☆☆☆

此用戶未填寫評價內容