Question
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?
- A. Increase the number of epochs.
- B. Use transfer learning. Correct
- C. Decrease the number of epochs.
- D. Use unsupervised learning.
Explanation
According to AWS documentation, transfer learning is a machine learning technique where a model trained on one task is repurposed on a second related task. This strategy allows the company to adapt pre-trained models for new, related tasks without starting from scratch, which aligns with their requirements.
