Coursera 笔记

Module 03 · From Deployment to Feedback and Final Evaluation

Module 3 Glossary: From Deployment to Feedback模块 3 术语表:从部署到反馈

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Welcome! This alphabetized glossary contains many of the terms you'll find within this lesson. These terms are important for you to recognize when working in the industry, when participating in user groups, and when participating in other certificate programs.
欢迎!这个按字母顺序排列的术语表包含了本课程中许多你将遇到的术语。这些术语对于你在行业内工作、参与用户组以及参与其他证书项目时识别它们非常重要。

Term  术语 Definition  定义
Browser-based application
基于浏览器的应用程序
An application that users access through a web browser, typically on a tablet or other mobile device, to provide easy access to the model's insights.
一种用户通过网页浏览器(通常在平板电脑或其他移动设备上)访问的应用程序,以便轻松获取模型的洞察力。
Cyclical methodology  循环式方法论 An iterative approach to the data science process, where each stage informs and refines the subsequent stages.
一种迭代的数据科学过程方法,其中每个阶段都为后续阶段提供信息并进行完善。
Data collection refinement
数据收集精炼
The process of obtaining additional data elements or information to improve the model's performance.
获取额外的数据元素或信息以提升模型性能的过程。
Data science model  数据科学模型 The result of data analysis and modeling that provides answers to specific questions or problems.
数据分析与建模的结果,为特定问题或提供答案。
Feedback  反馈 The process of obtaining input and comments from users and stakeholders to refine and improve the data science model.
获取用户和利益相关者的输入与反馈,以优化和改进数据科学模型的过程。
Model refinement  模型优化 The process of adjusting and improving the data science model based on user feedback and real-world performance.
根据用户反馈和实际运行表现调整和改进数据科学模型的过程。
Redeployment  重新部署 The process of implementing a refined model and intervention actions after incorporating feedback and improvements.
将反馈和改进纳入后,实施精细化模型和干预措施的过程。
Review process  审查流程 The systematic assessment and evaluation of the data science model's performance and impact.
对data science模型性能和影响进行系统性评估和评价。
Solution deployment  解决方案部署 The process of implementing and integrating the data science model into the business or organizational workflow.
实施并将数据科学模型集成到业务或组织工作流程中的过程。
Solution owner  解决方案负责人 The individual or team responsible for overseeing the deployment and management of the data science solution.
负责监督data science解决方案的部署和管理的个人或团队。
Stakeholders  利益相关者 Individuals or groups with a vested interest in the data science model's outcome and its practical application, such as solution owners, marketing, application developers, and IT administration.
对data science模型的成果及其实际应用具有利害关系的个人或团体,例如解决方案所有者、市场营销、应用程序开发者和IT管理。
Storytelling  讲故事 Storytelling is the art of conveying your message, or ideas through a narrative structure that engages, entertains, and resonates with the audience.
讲故事是通过叙事结构传达您的信息或想法的艺术,能够吸引、娱乐并与受众产生共鸣。
Test environment  测试环境 A controlled setting where the data science model is evaluated and refined before full-scale implementation.
在全面实施之前,用于评估和改进数据科学模型的受控环境。