Data Processing

Data processing is the transformation of raw data into a more meaningful form through a series of operations or processes. These processes can include cleaning, sorting, filtering, aggregating, and analyzing data to extract insights and make informed decisions. Data processing can be performed manually or through automated systems, and can involve various technologies such as databases, data warehouses, and big data platforms. The goal of data processing is to turn data into actionable information that can be used to improve business operations, optimize processes, and drive innovation.
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  • Linear Combination: In data science, a linear combination is a mathematical expression that consists of a sum of variables each multiplied by a constant. It is a fundamental concept in linear algebra and is used extensively in machine learning and data analysi ... Read More >>
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