"Dr Alag is a seasoned software professional with over eleven years of commercial software development and management experience and over fifteen years of experience in the machine learning and search areas. His areas of expertise is in building large-scale distributed SaaS applications, applying intelligence and personalization to Web 2.0 applications, SOA and J2EE architectures, delivering high quality software and building high performing engineering teams.
He is currently the VP of Engineering at NextBio, a data search engine in the life sciences areas. Prior to joining NextBio, he worked as a consultant with Johnson and Johnson's BabyCenter where he helped develop their personalization engine. Prior to that he was the Chief Software Architect and Dir. of Application Engineering at Rearden Commerce. He began his career at GE R&D and has held senior technical and management positions at Computing Technologies International and Black Pearl.
Satnam is a Sun Certified Enterprise Architect (SCEA) for the Java platform. His doctoral dissertation from the University of California, Berkeley was in the area of probabilistic reasoning and machine learning. He has a number of peer-reviewed publications, holds one patent and has a few more patents pending in the areas of distributed computing, SOA, travel, web services, and machine learning."
-- http://www.linkedin.com/pub/0/790/487
《Collective Intelligence實戰》內容簡介:在互聯網上,利用用戶的集體智慧是成功的關鍵。集體智慧是一種新興的編程技術,可讓您從人們訪問web和與web交互的過程中找到有價值的模式、發現這些訪問者之間的關係和確定他們的個人偏好及習慣等。《collective Intelligence實戰》首先介紹瞭集體智慧的原則和構建更具交互性網站的思想,然後通過示例開發瞭一個直接可用的基於Java的CI工具包。您將學會如何從自己的網站和互聯網中提取有價值的信息,進而發現流行趨勢、做齣實際預測和進行推薦。在此過程中,將使用大量可顯著減少開發丁作的API和開源工具包。本書專門為Java Web開發人員而寫。
發表於2025-02-07
Collective Intelligence實戰 2025 pdf epub mobi 電子書 下載
在綫閱讀地址,備忘。 http://www.bookfm.com/book/bookdetail.html?bookid=100139&bookpage=2 劉江說,比較技術化,給程序員看的。 在啃
評分在綫閱讀地址,備忘。 http://www.bookfm.com/book/bookdetail.html?bookid=100139&bookpage=2 劉江說,比較技術化,給程序員看的。 在啃
評分在互聯網時代,要在網站建設中使用集體智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是憑藉活力從零用戶發展為擁有數百萬用戶。在很少或根本不進行營銷的情況下,這類公司依靠集體智慧,使用戶數量從一個用戶發展到兩個用戶,然後是4個用戶、8個用戶,呈指...
評分在互聯網時代,要在網站建設中使用集體智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是憑藉活力從零用戶發展為擁有數百萬用戶。在很少或根本不進行營銷的情況下,這類公司依靠集體智慧,使用戶數量從一個用戶發展到兩個用戶,然後是4個用戶、8個用戶,呈指...
評分在互聯網時代,要在網站建設中使用集體智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是憑藉活力從零用戶發展為擁有數百萬用戶。在很少或根本不進行營銷的情況下,這類公司依靠集體智慧,使用戶數量從一個用戶發展到兩個用戶,然後是4個用戶、8個用戶,呈指...
圖書標籤: 集體智慧 數據挖掘 機器學習 Collective-Intelligence 算法 編程 推薦係統 智能
剛剛讀的時候覺得真不錯,可是越讀到後麵越水
評分牛書……[耶]
評分實戰性極強!從如何獲取智慧,到衍生智慧,以及最後的實戰每一個地方都有理論支撐以及相關代碼、數據集!
評分剛剛讀的時候覺得真不錯,可是越讀到後麵越水
評分集體智慧很重要
Collective Intelligence實戰 2025 pdf epub mobi 電子書 下載