Machine Learning: The Art and Science of Algorithms that Make Sense of Data [平裝]

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

Peter Flach 著
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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

具體描述

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


用戶評價

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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。

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書到瞭,包裝的非常好,希望能對學習有所幫助

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還不錯,機器學習還是要動手實踐的!

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