"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
发表于2024-11-25
Collective Intelligence in Action 2024 pdf epub mobi 电子书
在线阅读地址,备忘。 http://www.bookfm.com/book/bookdetail.html?bookid=100139&bookpage=2 刘江说,比较技术化,给程序员看的。 在啃
评分在互联网时代,要在网站建设中使用集体智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是凭借活力从零用户发展为拥有数百万用户。在很少或根本不进行营销的情况下,这类公司依靠集体智慧,使用户数量从一个用户发展到两个用户,然后是4个用户、8个用户,呈指...
评分在线阅读地址,备忘。 http://www.bookfm.com/book/bookdetail.html?bookid=100139&bookpage=2 刘江说,比较技术化,给程序员看的。 在啃
评分在互联网时代,要在网站建设中使用集体智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是凭借活力从零用户发展为拥有数百万用户。在很少或根本不进行营销的情况下,这类公司依靠集体智慧,使用户数量从一个用户发展到两个用户,然后是4个用户、8个用户,呈指...
评分在互联网时代,要在网站建设中使用集体智慧。 “像 YouTube、Facebook、Ning、LinkedIn、Skype 等公司都是凭借活力从零用户发展为拥有数百万用户。在很少或根本不进行营销的情况下,这类公司依靠集体智慧,使用户数量从一个用户发展到两个用户,然后是4个用户、8个用户,呈指...
图书标签: 数据挖掘 Collective-Intelligence 算法 机器学习 人工智能 web2.0 Data-Mining Machine-Learning
"The first chapter is free (http://www.manning-source.com/books/alag/alag_meapch1.pdf) and so is the source code used in the book (http://www.manning-source.com/books/alag/CIiA-src.zip).
The book is for Java developers who want to implement “Collective Intelligence” applications in Java. It tells us about extracting and applying data from blogs, wikis and social network applications. People who read this blog know that I am not one to praise, but this book succeeds brilliantly. If you are a Java engineer and work with Web technologies, you must get this book. It covers topics such as computing similarity measures using vector models, Naïve Bayes Classifiers, inverse document frequency (idf), Machine Learning (using the Weka API), building a crawler with regular expressions, collaborative filtering (with links to open source tools), and so on.
Even if you do not work with Java, if you care for high-end Web applications, this book is for you. It reminds me of Lyon’s Java Digital Signal Processing book. It offers the gist of what academia knows, but focuses on what people (engineers and researchers) do in practice.
The book is not meant for academia however. There are references, but no theorem."
-- by Daniel Lemire http://feeds.feedburner.com/~r/daniel-lemire/atom/~3/304207263/
看完对web2.0有了清晰地认识,不错。。。
评分Great book.
评分Great book.
评分JAVA写的,适合刚刚入门的新同学!常用算法都会讲到,然后还讲了一些开源工具包的使用方法!
评分看完对web2.0有了清晰地认识,不错。。。
Collective Intelligence in Action 2024 pdf epub mobi 电子书