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What is the difference between inductive machine learning and deductive machine learning?
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Answer / Ashish Deo
Inductive Machine Learning (IML) is a type of machine learning that involves building models based on observations and examples, while Deductive Machine Learning (DML) is a type of machine learning that involves using logical reasoning to arrive at conclusions based on existing knowledge. IML is typically used for tasks like classification, clustering, or anomaly detection, while DML is used for knowledge representation, expert systems, and AI planning.
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