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Explain the Inductive Learning in Machine Learning?
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Answer / Ziaul Qamar
Inductive Learning is a type of Machine Learning where the algorithm learns from examples (i.e., a set of input-output pairs). The goal is to generalize from the given examples and make accurate predictions on new, unseen data. Inductive learning algorithms typically include decision trees, support vector machines, and neural networks.
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