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• Cost-sensitive Learning: Cost-sensitive learning is a machine learning approach that takes into account the cost of misclassification errors. In traditional machine learning, the goal is to minimize the overall error rate, regardless of the cost of different types ... Read More >>
• Virtual Memory: Virtual memory is a memory management technique that allows a computer to use more memory than it physically has available. It is a way of extending the computer's memory by temporarily transferring data from the RAM to the hard disk. The o ... Read More >>
• 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 >>