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What are the best practices for using machine learning?
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The best practices for using machine learning involve data preparation, model selection, training and validation, hyperparameter tuning, and testing. Data preparation involves data selection and cleaning, model selection involves selecting the algorithm that best fits the problem, training and validation involve training and testing the model to make sure it performs optimally, hyperparameter tuning involves adjusting the configuration of the model to improve its performance, and testing involves verifying the model’s accuracy and performance on the data set.