This glossary introduces essential AI terminology for readers building foundational knowledge in artificial intelligence and machine learning. It defines key concepts related to data, models, training workflows, and evaluation metrics, with practical explanations accessible to beginners and practitioners alike. The 2022 edition emphasizes core machine learning and computer vision principles, serving as an entry point for understanding AI systems. It is designed to support learning, onboarding, and cross-functional communication within organizations exploring or expanding their AI initiatives.

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