Answer / Suchita Kumari

Inductive Logic Programming (ILP) is a subfield of Machine Learning that focuses on learning logical theories from examples. Unlike traditional Machine Learning methods, which learn numerical models, ILP aims to learn symbolic rules in the form of logic programs. This allows for more interpretable and human-readable models, especially useful for tasks involving natural language processing, expert systems, and knowledge representation.

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