Software
Software refers to a set of instructions or programs that tell a computer what to do. In the context of data science and artificial intelligence, software is used to develop, implement, and execute algorithms and models that analyze and interpret large amounts of data. This includes software for data collection, cleaning, and preprocessing, as well as software for machine learning, deep learning, and natural language processing. Software is also used to create visualizations and dashboards that help users understand and communicate insights from data. In addition, software plays a critical role in deploying and scaling data-driven applications and services.
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- Best-fit Line: In data science, a best-fit line is a straight line that is the best approximation of the given set of data points. It is also known as a regression line. The line is determined by minimizing the sum of the squares of the vertical deviation ... Read More >>
- Data Quality Issues: Data Quality Issues refer to problems or inconsistencies in data that affect its accuracy, completeness, consistency, and reliability. These issues can arise from various sources such as human error, system errors, data entry errors, data i ... Read More >>
- Orthogonal Axes: In data science, orthogonal axes refer to a set of axes that are perpendicular to each other. These axes are used to represent different variables or dimensions of a dataset. Orthogonal axes are commonly used in data visualization technique ... Read More >>
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