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Learn about the fundamental concepts and techniques of pretraining and finetuning in machine learning through a 33-minute lecture from the University of Utah's Data Science program. Explore detailed insights into how models are initially trained on large datasets and subsequently refined for specific tasks, with accompanying slides that provide visual explanations and practical examples of these essential deep learning processes.
