model-training

Vocabulary Word

Definition

'Model-training' is when you teach a computer system to understand things and make predictions. Like training a computer to recognize faces in a crowd.

Examples in Different Contexts

In deep learning, 'model training' is the intensive computational process of refining neural networks to perform specific tasks. A deep learning engineer might explain, 'Model training for deep learning models can take days or weeks, depending on the complexity of the task and the size of the dataset.'

Practice Scenarios

Tech

Scenario:

We've been getting regular false positives from our threat detection system. There may be a need for refinement.

Response:

Agree, we should start model training to fine-tune our threat recognition capabilities.

Academics

Scenario:

The climate data is showing some worrying trends. How can we use this to predict future climate conditions?

Response:

We can conduct model training on this data to give us a projection of climate changes over time.