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The 37th annual Quality and Productivity Research Conference will be hosted by Florida State University in Tallahassee, Florida, July 26-29. This conference is the main annual meeting for the Quality and Productivity Section. The 2021 conference theme, Data Science and Statistics for Quality, reflects the changing nature of the discipline of statistics. The overall aim of the conference is promotion of data science in diverse applied areas, particularly those associated with the fields of quality and process control. Massive amounts of data are being collected on a daily basis-processed and analyzed in virtually every branch of modern society and every aspect of everyday life-so the science, quality, and statistical communities are obligated to keep up with the rapid growth and variety of collected data and provide up-to-date methodologies and guidance to those using this data. This conference will explore and promote ideas that further this goal. Statisticians, data scientists, and practitioners from these areas will propose and discuss the latest ideas and cutting-edge modern methodologies in all aspects of big data analysis and their applications. The conference will focus on the progress made in such computationally intensive fields such as data mining, machine learning, functional data analysis, image reconstruction, statistical process control, and uncertainty quantification.
机译:佛罗里达州立大学佛罗里达州佛罗里达州的第37届年度质量和生产力研究会议将于7月26日至29日举办。本次会议是质量和生产力部分的主要年会。 2021年的会议主题,数据科学和质量统计,反映了统计学科的变化性质。会议的整体目标是在不同应用领域的促进数据科学,特别是与质量和过程控制领域相关的数据科学。每天都在日常处理和分析的大量数据,几乎在现代社会的每个分支机构和日常生活的各个方面分析 - 因此,科学,质量和统计社区有义务跟上快速增长和品种收集数据并为使用此数据提供最新方法和指导。本次会议将探索并促进进一步实现这一目标的想法。这些地区的统计名人,数据科学家和从业者将提出并讨论大数据分析及其应用的所有方面的最新思想和尖端现代方法。会议将重点关注在这种计算密集型领域的进展,例如数据挖掘,机器学习,功能数据分析,图像重建,统计过程控制以及不确定性量化。

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    《AMSTAT news》 |2021年第527期|36-36|共1页
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