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概述
趣赢平台’s data scientists work with clients and subject matter experts to formulate and solve important research questions using the latest 人工智能 (AI), 机器学习(ML), 自然语言处理(NLP), 数据可视化技术. Our multidisciplinary data science team includes experts from statistics, 计算机科学, 和通信.
我们的专业知识
Data Integration, Harmonization, and Complex Analytics
趣赢平台 achieves effective and efficient data integration and harmonization of data from disparate sources; processes data of varying file formats, 命名约定, and columns; and transforms them into a cohesive data set. These data are then available for streamlined analyses based on a common standard. We also lead the field in providing complex analytical services, using cutting-edge techniques rooted in principles and best practices of data science. 我们致力于通过高级分析为数据赋能, 机器学习(ML), 和人工智能(AI).
数据科学基础设施
以现代化和创新为核心, 趣赢平台提供数据采集, management and dissemination solutions that emphasize automation, 质量, 及时性, 和安全. 通过协调数据, 应用通用的数据模型和标准, 与外部数据源链接, and applying novel data science techniques we enhance the utility of the data and enable deeper analytics.
数据可视化
趣赢平台 develops cutting-edge visual analytics using the scientific principles of visual data communication. 在开发可视化, our aim is to provide clients with actionable insights into their data, 告知数据收集程序, 并支持决策. Our data experts use data visualization techniques to track and report on progress in large-scale surveys, 交互式分析地理空间流行病学数据, illustrate student growth and progress toward educational achievement indicators, and consistently monitor performance across research sites in clinical trials.
查看案例研究Geographic Information Systems and Geospatial Analysis
趣赢平台数据科学家可以优化任何研究任务. We’ve used geospatial relationships to enrich data frames and deliverables, 利用空间数据驱动数据收集逻辑, 生成地图以可视化数据, and automating the identification and collection of travel with GPS and geolocation data from smartphones. We’ve also combined epidemiological and environmental data to plan field activities in a post-COVID-19 world.
机器学习和人工智能
趣赢平台’s data science team includes experts from statistics, 计算机科学, 和通信. We work with clients to determine where 机器学习(ML) 和人工智能(AI) can be applied to expand data utility and discovery as well as to maximize the efficiency and 质量 of project operations. 我们与客户一起定义研究问题, 收集和整合数据, and apply a range of unsupervised and supervised ML algorithms to understand patterns in the data or to predict outcomes of interest.
查看案例研究自然语言处理和文本分析
Using both traditional and cutting-edge deep learning techniques, 趣赢平台 data scientists implement 自然语言处理(NLP) aimed at training computers to understand and process human languages. 无论是面对书面语言还是口头语言, our NLP experts foster contextual understanding of content to help clients effectively process data and develop appropriate solutions to the challenges they face.
专家
认识团队
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Jeri Mulrow
副总统 & Sector Lead, Data Solutions; Acting Director, Statistics & 数据科学
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Andreea Erciulescu
助理副总裁
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Gizem Korkmaz
助理副总裁
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马塞洛硅镁层
助理副总裁
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Sunitha马修
副总统 & 临床研究实践主任
项目
继续阅读
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Substance Abuse and Mental Health 服务 Administration (SAMHSA)
What drug or drug combinations send people to the emergency department? -
医疗保健研究和质量局(AHRQ)
如何快速准确地处理文本数据?
的见解
与我们的专家深入探讨
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专家访谈
Real-World Data: The Benefits, Limitations, and Future2023年5月
运用正确的专业知识和技术, 真实世界的数据可以回答新兴的研究问题.
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专家访谈
数据可视化:讲述数据丰富的故事2022年7月
The increasing need for the collection and analysis of massive amounts of data has made the use of data visualization more important than ever. …
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专家访谈
Jeri Mulrow on How 数据科学 Can Help Solve America’s Complex Dilemmas2021年9月
面对国家面临的巨大问题, the potential for data science to be the game-changer that can help tackle them is being recognized. 趣赢平台的……