Haralambos (Babis) Marmanis 博士是一个把机器学习技术应用于工业界的先行者,也是供应管理的世界级专家。Dmitry Babenko曾经为银行、保险、供应链管理与商务智能公司设计过应用与基础架构。
本书拥有者可以通过 www.manning.com/AlgorithmsoftheIntelligentWeb在线获得作者的信息、样例代码与免费的电子版本。
Dr. Haralambos (Babis) Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions, and also a world expert in supply management. He has about twenty years of experience in developing professional software. Currently, he is the director of R&D and chief architect, for expense management solutions, at Emptoris, Inc. Babis holds a Ph.D. in applied mathematics from Brown University, an M.S. degree in theoretical and applied mechanics from the University of Illinois at Urbana-Champaign, and B.S. and M.S. degrees in civil engineering from the Aristotle University of Thessaloniki in Greece. He was the recipient of the Sigma Xi award for innovative research in 2000, and he is the author of numerous publications in peer-reviewed international scientific journals, conferences, and technical periodicals.
Dmitry Babenko is the lead for the data warehouse infrastructure at Emptoris, Inc. He is a software engineer and architect with 13 years of experience in the IT industry. He has designed and built a wide variety of applications and infrastructure frameworks for banking, insurance, supply-chain management, and business intelligence companies. He received a M.S. degree in computer science from Belarussian State University of Informatics and Radioelectronics.
发表于2024-09-27
Algorithms of the Intelligent Web 2024 pdf epub mobi 电子书
有朋友对构建本书中的代码运行环境有疑问,特别准备了一点介绍,为了格式上的方便,请访问这里:http://gossipcoder.com/?p=842
评分有朋友对构建本书中的代码运行环境有疑问,特别准备了一点介绍,为了格式上的方便,请访问这里:http://gossipcoder.com/?p=842
评分有朋友对构建本书中的代码运行环境有疑问,特别准备了一点介绍,为了格式上的方便,请访问这里:http://gossipcoder.com/?p=842
评分Yooreeka-20130127 bsc.sh 里的配置文件加载包名跟lib里的都不一样, 而且就找不到 Yooreeka.jar 这个 请过来人指点~~~~~~~~~~~
评分说实话,这本书也就只够看看目录,如果还有其他的价值的话,可能因为是国外的书翻译过来的,本身有些参考文献和开源工具介绍还不错,权且看看机器学习和数据挖掘等智能算法的应用方式罢了。 如果真要深入研究其中的算法,我觉得还是找其他书吧,这本书对算法讲解...
图书标签: 机器学习
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.
Algorithms of the Intelligent Web 2024 pdf epub mobi 电子书