Titlebook: Explainable AI Recipes; Implement Solutions Pradeepta Mishra Book 2023 Pradeepta Mishra 2023 Explainable AI.Python.Artificial Intelligence

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https://doi.org/10.1007/978-3-030-19175-7al trials, and drug testing. There are regulatory requirements in some of these industries where model explainability is required. Artificial intelligence involves classifying objects, recognizing the objects to detect fraud, and so forth. Every learning system requires three things: input data, pro

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Vulnerable

Variational Segmentation with Shape Priors in the case of classification, the output variable is binary or multinomial. A binary output variable has two outcomes, such as true and false, accept and reject, yes and no, etc. In the case of a multinomial output variable, the outcome can be more than two, such as high, medium, and low. In this

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Kathrin Natterer (née Greuling)ions are aggregated in ensemble models to generate the final models. In the case of supervised regression models, many models are generated, and the averages of all the predictions are taken into consideration to generate the final prediction. Similarly, for supervised classification problems, multi

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