通过数据分析库存供应和货架

Komal Verma, R. Pandey, Nidhi Srivastava
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引用次数: 0

摘要

来自不同专业领域的专家相信,计算机科学的另一个时代正在出现。以前,应用程序通常运行在个人电脑框架的硬盘上。经过一段时间的休息,应用程序开始放在组织的附近服务器上,从那时起,应用程序继续在单个框架上运行。软件工程时代的下一阶段是将应用程序和信息都转移到“云”上,所有的信息都存放在虚拟服务器上,可以通过互联网从任何地方获取。微软Azure是微软的开放云计算平台。它提供了广泛的各种云管理,从数据存储、分析到计算和数据网络。通过机器学习进行分析是Azure提供的服务之一。为了进行剖析,可以使用R、Python和Visual Studio等编程语言。R提供了一个广泛用于图形分析和可测量计算的编程领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inventory supply & shelfing through data analytics
Experts from different specialized fields trust that another era of Computer Science is emerging. Sometime ago, applications use to run on the individual PC framework's hard drive. With taking a break, the application started to be put away on a nearby server of an organization and from that point the applications were keep running on the individual framework. The following stage to this advancement of software engineering time is moving both the applications and information to the ‘Cloud’, where all information is put away at a virtual server and can be gotten to from anyplace through Internet. Microsoft Azure is a Microsoft's open Cloud Computing Platform. It gives an extensive variety of cloud administrations from Data Storage, Analysis to Computing and Networking of Data. Analysis through Machine learning is one of the administrations that Azure Offers. For dissecting one can use programming languages like R, Python and Visual Studio. R gives a Programming domain broadly utilized for graphically analysis and measurable computing.
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