Machine Learning
Model Training
The process of teaching a machine learning model to make predictions based on data.
Expanded definition
Model training involves feeding a machine learning algorithm with training data and adjusting its parameters so that it can accurately predict outcomes for new, unseen data. This process typically involves multiple iterations and adjustments, guided by algorithms that minimize prediction errors. Effective training is essential for creating robust models.
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