Transfer Learning is a machine learning technique that leverages pre-trained models or knowledge gained from solving one problem to enhance performance on a different but related task. This approach reduces training time, improves accuracy, and is especially useful when limited data is available for the new task. It accelerates model development by applying existing insights to new problems.