Data science is the study of the generalizable extraction of knowledge from data,[1] yet the key word is science.[2] It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics,probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
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A practitioner of data science is called a data scientist. Data scientists solve complex data problems by employing deep expertise in some scientific discipline"
Microsoft: Exploration: Data Science... with Mario Garzia - Machine Learning - Site Home - TechNet Blogs
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