Answer / Maheshwar Nath

A/B testing in machine learning (or experimentation) involves presenting different versions of a product or feature to subsets of users and measuring their performance to determine which version performs better. This helps optimize the user experience, improve conversion rates, and make informed decisions on product development.

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