Malinger
发表于 2025-3-21 19:44:58
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doxazosin
发表于 2025-3-21 21:29:26
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Endometrium
发表于 2025-3-22 02:09:39
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Dawdle
发表于 2025-3-22 07:05:50
Statistical Learning as a Regression Problem,ion by some as a form of supervised machine learning. Once these points are made, the chapter turns to several key statistical concepts needed for statistical learning: overfitting, data snooping, loss functions, linear estimators, linear basis expansions, the bias–variance tradeoff, resampling, algorithms versus models, and others.
暴露他抗议
发表于 2025-3-22 10:25:24
Neural Networks,al networks,” or more broadly, “deep learning.” These newer developments have generated both genuine excitement and some self-serving hype. In this chapter, we will begin with early neural networks and end with some of the impressive recent advances.
guzzle
发表于 2025-3-22 15:56:56
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漫步
发表于 2025-3-22 20:35:37
Classification and Regression Trees (CART), also see that although recursive partitioning has too many problems to be an effective, stand-alone data analysis procedure, it is a crucial component of more powerful algorithms discussed in later chapters. It is important, therefore, to get into the details.
占线
发表于 2025-3-23 00:34:36
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阴险
发表于 2025-3-23 05:19:53
Boosting,ore poorly on the last pass are given more weight. In that way, the algorithm works more diligently to fit the hard-to-fit observations. In the end, each set of fitted values is combined in an averaging process that serves as a regularizer. Boosting can be a very effective statistical learning procedure.
要求比…更好
发表于 2025-3-23 07:57:13
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