Definition - MACHINE LEARNING BASICS - Model Training
Model training is the process of creating a machine learning model from a dataset. It involves feeding the data into an algorithm and letting it learn patterns The goal is to optimize the model's performance on a specific task or prediction During training, the model adjusts its parameters based on feedback from the data This process can take anywhere from seconds to hours depending on the complexity
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