Model Training

Model training is the process of teaching a computer program, called a machine learning model, to recognize patterns and make predictions. This involves providing the model with a large amount of data and adjusting its internal settings, or parameters, so it can accurately interpret new, unseen data. Think of it like refining a recipe: with each iteration, the model learns to produce better results by minimizing errors. Once trained, the model can be applied to solve real-world problems, such as recognizing images or understanding speech, by applying what it has learned from the training data.