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• Signatures: In Data Science, signatures refer to the unique patterns or characteristics that can be extracted from data. These patterns can be used to identify and classify different types of data, such as images, text, or audio. Signatures can be crea ... Read More >>
• Policies: In the context of data science, policies refer to a set of rules and guidelines that govern the collection, storage, use, and sharing of data within an organization. These policies are designed to ensure that data is handled in a responsibl ... Read More >>
• Cross-Validation: Cross-validation is a statistical method used to evaluate the performance and accuracy of a machine learning model. It involves partitioning the dataset into subsets, where one subset is used for testing the model and the remaining subsets ... Read More >>