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数据科学 （英語： data science）又称 资料科学，是一门利用 数据 （资料）学习知识的學科，其目标是透过从数据中提取出有价值的部分来生产数据产品 [1]，学科范围涵盖了：数据取得、数据处理、数据分析等过程，举凡与數據有关的科学均属数据科学。 Shaping the future of data science the master of science in data science is a highly selective program designed for students with a strong foundation in mathematics, computer science, and applied statistics “顾名思义，Data Science 译为数据科学，是一门利用数据学习知识的学科，其目标是通过从数据中提取出有价值的部分来生产数据产品。 它结合了诸多领域中的理论和技术，包括应用数学、统计、模式识别、机器学习、 数据可视化 、 数据仓库 以及 高性能计算。
While data science uses descriptive data, it typically utilizes it to determine predictive variables, which are then used to categorize data or to make forecasts. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is the practice of using computational and statistical methods to find valuable insights and patterns hidden in complex data
Data science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends.
Data science is often considered the intersection between statistics and computer science because its history is rooted in these two fields, and they share many of the same principles. Data science is a field that draws on tools from computer science, statistics, and mathematics to turn raw, unstructured information into knowledge we can act on.
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