AI is a subset of machine learning and deep learning.
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False
Reason — Artificial Intelligence is the broader field. Machine learning and deep learning are subcategories of Artificial Intelligence.
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Training data is used to evaluate the performance of an AI model.
A problem statement template helps in clearly defining the problem to be solved.
Data Exploration is performed before Data Acquisition in the AI project cycle.
Testing data is used to evaluate the performance of the AI model.