The process of converting a trained machine learning model into a format that can be used by production systems is called _______.
- Training
- Validation
- Serialization
- Normalization
Serialization is the process of converting a trained machine learning model into a format that can be used by production systems. It involves saving the model's parameters, architecture, and weights in a portable format so that it can be loaded and utilized for making predictions in real-time applications.
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