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Product Details 基本信息 ISBN-13 书号 9781799827689 Author 作者Richard S. SegallFormat 版本精装Pages Number 页数250页Publisher 出版社IGI PublishingPublication Date 出版日期2020-02-28Product Dimensions 商品尺寸10 x 7 x 0.6 cmShipping Weight 商品重量1460gLanguage 语种英语Book Contents 内容简介With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
