Answer / Chetan Warkari

Inductive learning is a type of machine learning where the algorithm learns from example inputs and outputs, and makes generalizations to unseen data. Deductive learning, on the other hand, is a reasoning process that starts with general rules or premises and applies them to specific cases to make predictions.

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