In terms of Machine Learning services in the cloud, what is the primary advantage of using "transfer learning"?
- Enhanced data storage
- Improved model accuracy
- Reduced training time
- Simplified deployment
The primary advantage of using transfer learning in cloud-based ML is improved model accuracy. It allows leveraging pre-trained models, making it easier to achieve high accuracy with limited data.
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