Think Different

  Inferential statistics is a branch of statistics that deals with making inferences about a population based on a sample. It is used in machine learning to make predictions about the performance of a model on new data. It is also used in performance testing to make inferences about the performance of a system under different workloads. In machine learning, inferential statistics is used to: Choose the right model: Inferential statistics can be used to evaluate different machine learning models and choose the one that is most likely to generalize well to new data. Tune the hyperparameters: The hyperparameters of a machine learning model are the parameters that control the model's behavior. Inferential statistics can be used to tune the hyperparameters of a model to improve its performance. Make predictions: Inferential statistics can be used to make predictions about the performance of a machine learning model on new data. In performance testing , inferential statistics is u...