Which ML strategy meets these requirements?

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.
C . Decrease the number of epochs.
D . Use unsupervised learning.

View Answer

Answer: B

Explanation:

Transfer learning is a machine learning strategy that leverages pre-trained models and adapts them to new but related tasks. This allows the company to avoid building models from scratch, significantly reducing the time and resources required for training. By fine-tuning the pre-trained model on domain-specific data, the company can achieve high performance for the new task without starting from the beginning.