nettle 发表于 2025-3-23 13:20:50
http://reply.papertrans.cn/63/6207/620619/620619_11.png纪念 发表于 2025-3-23 16:50:52
http://reply.papertrans.cn/63/6207/620619/620619_12.png全神贯注于 发表于 2025-3-23 18:04:35
http://reply.papertrans.cn/63/6207/620619/620619_13.pngDRILL 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
http://reply.papertrans.cn/63/6207/620619/620619_15.pngdebris 发表于 2025-3-24 09:22:55
http://reply.papertrans.cn/63/6207/620619/620619_16.png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
http://reply.papertrans.cn/63/6207/620619/620619_18.png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 classificationPeculate 发表于 2025-3-24 23:19:58
http://reply.papertrans.cn/63/6207/620619/620619_20.png