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Model Evaluation is a technique employed for machine learning models, which estimates the accuracy of those models on future data. This chapter will get ready you for evaluating machine learning models using design evaluation techniques, like Cross Validation and Bootstrapping.
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A Distribution is often a statistical purpose used to report every one of the possible values that a random variable takes within a particular AI and insight certification vary.
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