小型企业的机器学习:挑战与机遇

T. H. Walcott, Maaruf Ali
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引用次数: 2

摘要

机器学习(ML)在帮助组织计划和协调各自的业务活动方面发挥着重要作用。为此,必须有一个公平水平的计算能力,以确保这些组织能够根据整理和评估的数据做出决策。然而,公司越小,就会有支持对相关技术和基础数学的有限掌握的争论,必须对这些技术和基础数学进行检查,以便潜在地利用这些类型的组织中可能存在的未开发的知识。本文将评估小公司的概念,并描述机器学习及其对应方法可以用于确保这些组织能够保持活力和竞争力的一些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning for Smaller Firms: Challenges and Opportunities
Machine Learning (ML), plays an important role in aiding organisations to plan and co-ordinate their respective business activities. To this effect, there must be a fair level of computational power for ensuring that these organisations can make decisions based on data collated and evaluated. However, the smaller the firm, there can be arguments in support of a limited grasp of the associated technology and underpinning mathematics that must be examined for potentially harnessing the untapped knowledge that may exist in these types of organisations. This paper will evaluate the concept of a small firm and depict some ways in which machine learning and its counterpart approaches can be used in ensuring that these organisations can remain viable and competitive.
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