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Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data.

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining and big data.

Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.

Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.

数据科学是一个“统一统计学、数据分析、机器学习及其相关方法的概念” ，目的是用数据“理解和分析实际现象”。它使用的技术和理论从许多领域的背景下，数学，统计，计算机科学和信息科学。图灵奖获得者吉姆•格雷(Jim Gray)将数据科学想象为科学的“第四范式”(经验主义、理论主义、计算主义，现在是数据驱动的) ，并断言“由于信息技术和数据泛滥的影响，科学的一切都在改变”。

数据科学是一个“统一统计学、数据分析、机器学习及其相关方法的概念” ，目的是用数据“理解和分析实际现象”。它使用的技术和理论源自许多领域，如数学、统计学、计算机科学和信息科学。图灵奖获得者吉姆•格雷 Jim Gray 将数据科学想象为科学的“第四范式”(经验主义、理论主义、计算主义，现在是数据驱动的) ，并断言“由于信息技术和数据泛滥的影响，科学的一切都在改变”。