Model Training

Process of teaching machine learning algorithms to recognize patterns and make decisions using sample data. This crucial phase involves feeding the model examples to help it learn and improve its performance. Consider how a student learns through practice problems – model training similarly involves presenting various scenarios to help the algorithm develop accurate prediction capabilities.