Answer Posted / Rohit Kumar Chaudhary

Inductive machine learning (explained in question 305632) uses data to learn patterns and make generalizations, while deductive machine learning applies explicit rules based on logic and reasoning. In other words, inductive learning is a data-driven approach that learns from examples, while deductive learning is a rule-based approach that reasons from premises.

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