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16 de oct. de 2021 · A Brief History of Data Science. By Keith D. Foote on October 16, 2021. The term “Data Science” was created in the early 1960s to describe a new profession that would support the understanding and interpretation of the large amounts of data which was being amassed at the time.
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Early usage. In 1962, John Tukey described a field he called "data analysis", which resembles modern data science. [20] In 1985, in a lecture given to the Chinese Academy of Sciences in Beijing, C. F. Jeff Wu used the term "data science" for the first time as an alternative name for statistics. [21]
Data Science Icons. History of Data Science is the place to learn about the modern innovations, defining moments, and influential humans that have transformed data science culture to become the Everyday AI environment that stands in place today — an inclusive, collaborative, and responsible ecosystem from which enterprise thrives.
21 de oct. de 2021 · October 21, 2021. Evolution of Data Science: Growth & Innovation. The term “data science” — and the practice itself — has evolved over the years. In recent years, its popularity has grown considerably due to innovations in data collection, technology, and mass production of data worldwide.
19 de dic. de 2017 · 2. Data Science “Versus” Statistics. Many of my audience at the Tukey Centennial—where these remarks were originally presented—are applied statisticians, and consider their professional career one long series of exercises in the above “…collection, management, processing, analysis, visualization, and interpretation of vast amounts of heterogeneous data associated with a diverse ...
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25 de ago. de 2022 · A Brief History of Data Science. The journey to structure, organize and understand data has a long history. The evolution of data science has involved discussions by scientists, statisticians, researchers, computer scientists, and notable industry pioneers for generations.
This article provides a com-prehensive survey and tutorial of the fundamental aspects of data science: the evolution from data analysis to data science, the data science concepts, a big picture of the era of data science, the major challenges and directions in data innovation, the nature of data analytics, new industrialization and service ...
