Instruction: Discuss how transfer learning works and why it is beneficial in machine learning projects.
Context: This question assesses the candidate's knowledge of transfer learning, including how it leverages pre-trained models for new tasks, potentially reducing the need for large labeled datasets.
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The way I'd explain it in an interview is this: Transfer learning means starting from a model that has already learned something useful on a source task and adapting it to a related target task instead of training from scratch. In practice, that often means...