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An introduction to instance-based modeling, a machine learning approach that uses specific instances or cases to make predictions. Topics covered include the concept of instance-based learning, its advantages and disadvantages, and popular instance-based models like k-nearest neighbors (k-nn) and instance-based learning trees (iblt).
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