恶意 发表于 2025-3-28 16:13:23

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ELATE 发表于 2025-3-28 20:54:12

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分离 发表于 2025-3-29 00:29:45

Machine Learning in Tourism: A Brief Overviewg recently undergone rapid developments and being applied to a wide array of tasks, both in practice as well as in science. Nevertheless, ML approaches still seem to be the exception rather than the rule in tourism literature, most likely due to a sense of hesitation towards understanding and engagi

缩减了 发表于 2025-3-29 05:57:46

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COST 发表于 2025-3-29 10:10:33

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大约冬季 发表于 2025-3-29 13:07:26

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glucagon 发表于 2025-3-29 19:30:05

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烦忧 发表于 2025-3-29 21:05:27

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神经 发表于 2025-3-30 02:50:43

Hyperparameter Tuningsful” model into a solid business solution by finding the right combination of input values. In this chapter, the theoretical foundations behind different traditional approaches to optimizing hyperparameters, such as Manual Search, Grid Search, and Random Search, will be laid out in addition to outl

偏离 发表于 2025-3-30 04:25:52

Model Evaluationvaluation scores that reflect the model‘s quality. Evaluation scores differ for classification and regression. The former commonly uses area under the ROC curve and F1 scores, while the latter uses the mean average error and the mean squared error. In both cases, evaluation requires the use of k-fol
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查看完整版本: Titlebook: Applied Data Science in Tourism; Interdisciplinary Ap Roman Egger Textbook 2022 The Editor(s) (if applicable) and The Author(s), under excl