nettle 发表于 2025-3-23 13:20:50

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纪念 发表于 2025-3-23 16:50:52

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全神贯注于 发表于 2025-3-23 18:04:35

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DRILL 发表于 2025-3-24 00:59:35

The Landscape of Machine Learning: Supervised and Unsupervised Learning, Optimization, and Other Tope included to aid in discussions later in the text. The discussion of cross-validation includes k-fold cross-validation, leave-one-out cross-validation, and how to apply cross-validation to time series as well as problems with unknown parameters in the loss function.

拱形面包 发表于 2025-3-24 04:13:02

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debris 发表于 2025-3-24 09:22:55

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暂时中止 发表于 2025-3-24 14:21:59

Textbook 2021est addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow,  demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally

减弱不好 发表于 2025-3-24 18:46:19

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排出 发表于 2025-3-24 22:05:26

Linear Models for Regression and Classification example considering an object in free fall to then use regression to find the acceleration due to gravity. This example then leads to a discussion of least squares regression and various generalizations using logarithmic transforms. The topic of logistic regression is presented as a classification

Peculate 发表于 2025-3-24 23:19:58

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查看完整版本: Titlebook: Machine Learning for Engineers; Using data to solve Ryan G. McClarren Textbook 2021 Springer Nature Switzerland AG 2021 supervised learnin