Algorithms of the Intelligent Web, 2/e (Paperback)

Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko

買這商品的人也買了...

相關主題

商品描述

There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users.

Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

使用者在與網頁和應用程式互動時,留下的大量數據中蘊藏著無價的洞察力。這些洞察力可以透過使用智能演算法來解鎖,就像Facebook、Google、Twitter和Microsoft所使用的那些演算法一樣,這些演算法使它們成為網頁數據模式提取領域的巨頭。改進的搜尋、數據分類和其他智能模式匹配技術可以大大提升對使用者的理解和互動的優勢。

《智能網頁演算法,第二版》已經完全修訂,並教授了最重要的演算法網頁數據分析方法,讓讀者能夠創建機器學習應用程式,對從使用者、網頁應用程式、感應器和網站日誌收集的數據進行處理和整理。書中以Python的scikit-learn為例,解釋並介紹了關鍵的機器學習概念,並提供了許多程式碼示例。本書將引導讀者了解底層機制和智能演算法,以捕獲、存儲和結構化數據流。讀者將通過Netflix電影推薦的示例探索推薦引擎,並深入研究統計演算法、神經網絡和深度學習的分類。他們還將考慮排名的內外情況,以及如何基於智能演算法測試應用程式。

購買印刷版書籍將包含Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。