书名:Collective Intelligence实战
作者:阿拉克
译者:
ISBN:9787302233022
出版社:清华大学出版社
出版时间:2010-9
格式:epub/mobi/azw3/pdf
页数:385
豆瓣评分: 7.3
书籍简介:
《Collective Intelligence实战》内容简介:在互联网上,利用用户的集体智慧是成功的关键。集体智慧是一种新兴的编程技术,可让您从人们访问web和与web交互的过程中找到有价值的模式、发现这些访问者之间的关系和确定他们的个人偏好及习惯等。《collective Intelligence实战》首先介绍了集体智慧的原则和构建更具交互性网站的思想,然后通过示例开发了一个直接可用的基于Java的CI工具包。您将学会如何从自己的网站和互联网中提取有价值的信息,进而发现流行趋势、做出实际预测和进行推荐。在此过程中,将使用大量可显著减少开发丁作的API和开源工具包。本书专门为Java Web开发人员而写。
作者简介:
"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
书友短评:
@ 飞林沙 本书主要集中于Web中的集体智能算法应用,完整地讲述了在构建一个实际Web集体智能应用时需要涉及的一些设计过程,如如何获取数据,如何表示数据,如何应用机器学习算法,其中的各个细节对于实战相当有帮助,尤其是其中作者在实际工作中抽象出来的设计架构有很大的参考价值,不愧为in Action系列书籍。当然,如果你想从本书中获得一些理论性的内容,可能不太适合,所以我还打算去看下《集体智慧编程》一书来作为学习深入。
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