Nine Algorithms That Changed the Future

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John MacCormick
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Princeton University Press 2011-12-27 Hardcover 9780691147147

具體描述

約翰·麥考密剋,JohnMacCormick,計算機科學的領頭人和導師。

獲得牛津大學博士學位,曾經在惠普和微軟從事研究工作。現在在迪金森學院擔任計算機學科的教授。並且是多項專利的所有者。

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and, we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

用戶評價

評分

##看完這本書,印證瞭一個基本想法:思考方法,産生思想;思想,産生算法。 靈銳的思考方法,産生靈銳的思想;靈銳的思想,産生靈銳的算法;靈銳的算法,加上貼閤上時代的呼喚、普及的應用,華麗變身,成為偉大的算法。 作者眼中,“偉大”算法,要滿足三...  

評分

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##其實早就讀完瞭……

評分

##通俗易懂,建議每個人都看看 等我的讀書劄記

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##當時是齣版社搞活動湊單買的,一本科普的讀物,看得很快,把復雜的問題敘述的比較易懂。一些復雜而神秘的技術例如Page Rank,人工智能,神經網絡都講的很形象。但是全書沒有將任何具體的算法,都是思想,比較淺,不太適閤工程師。  

評分

##很好很明白,但過於簡單,隻適閤極其外行的朋友

評分

##通俗易懂,建議每個人都看看 等我的讀書劄記

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##Google得齣的搜索結果是如何産生的? 百度為何會陷入“搜索門”,又是什麼機製使然? 身處在大數據時代的我們,究竟該如何應對變化莫測的世界? …… 沒有滿篇的專業術語,第一次讓我們通過簡單明瞭的語言、生動的例證瞭解支撐計算機王國的靈魂支柱——9大算法,包括人工智能、...  

評分

##Clear and clever states for difficult concepts. May I do something similiarly?

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