Answer / Mukul Bansal

Inductive Learning is a type of machine learning where generalizations are made from specific observations (data). It involves finding patterns or rules within data to make predictions about new, unseen examples. Deductive Learning, on the other hand, is a reasoning process that starts with a general rule and applies it to specific instances. The goal is to reach a conclusion based on existing knowledge.

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