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model training

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**model training**

What is model training?

Model training is the process of teaching a machine learning model to make predictions or decisions based on data. It involves feeding the model a dataset and adjusting its internal parameters (weights and biases) until it learns the patterns and relationships within the data. This allows the model to generalize and make accurate predictions on new, unseen data. Model training is commonly used in various applications such as image recognition, natural language processing, and predictive analytics.

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