机器学习在群体智能管理中的作用

None Mohit Suthar, None Sunil Sharma
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引用次数: 0

摘要

机器学习是当今几乎在商业和教育的每个部门盛行的基本技术之一。人们变得越来越先进和发达,获得了更高水平的技术和学习数据。机器学习在监控和促进人群智能的各个方面发挥着关键作用,包括识别良好的工作流程水平,收集个人对工作流程的响应,以及测试可以实现任务众包的各种方法。在机器学习下,企业采用各种方法来即兴创作和提高职业发展的需求轨迹和成长速度。可用于分析数据并被专业人士使用的最佳方法之一是群体驱动的机器学习,这反过来又促进了分析模型构建的自动化。下面的研究也是基于类似的方面,对众动力机器学习进行了讨论,并对众动力机器学习的智能管理进行了评估。此外,本文还探讨了人工智能中机器智能在群体智能管理中的作用。该研究还强调了各种方法和技术,以了解机器学习在有效管理人群智能中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Machine Learning in Managing Crowd Intelligence
Machine learning is one of the essential technologies that is prevailing nowadays in almost every sector of business and education. People are becoming more advanced and developed gaining higher levels of technologies and learning data. Machine learning plays a key role in monitoring and facilitating various aspects of crowd intelligence which includes identification of a good level of workflow, collecting responses from individuals regarding workflow, and testing of various methods that can enable in crowdsourcing of the task. Various methods are adopted under machine learning to improvise and increase the demanded track of career and growth pace of business firms. One of the best methods which are available for analysing data and used by professionals is crowd-powered machine learning which in turn facilitates in automation of the building of analytical models. The following research is also based on a similar aspect in which discussion is been made regarding crowd-powered machine learning as well and an evaluation of the intelligent management of crowd-powered machine learning is also ascertained. Furthermore, the research also discusses the role played by machine intelligence in the management of crowd intelligence in AI. The research has also highlighted the various methods as well as techniques in order to understand the role of machine learning in the effective management of crowd intelligence.
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