积聚
发表于 2025-3-21 19:06:55
书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0307581<br><br> <br><br>书目名称Elements of Data Science, Machine Learning, and Artificial Intelligence Using R读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0307581<br><br> <br><br>
calumniate
发表于 2025-3-21 20:36:31
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合乎习俗
发表于 2025-3-22 04:22:09
General Error Measures start by introducing four so-called fundamental errors from which most error measures are derived. Then, we discuss 14 different error measures. Finally, we discuss the evaluation of the outcome of a single method and that of multiple methods, showing that such an evaluation is a complex task that
Exterior
发表于 2025-3-22 06:52:06
Resampling Methodse different from the other methods presented in this book. As we will see, resampling and subsampling methods allow the generation of “new” data sets from any given data set, which can then be used either for the assessment of a prediction model or for the estimation of parameters.
旧石器时代
发表于 2025-3-22 11:33:40
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祝贺
发表于 2025-3-22 13:31:55
Statistical Inferencen reality, a sample of data always has a finite size, any conclusions reached about the population are always uncertain to a degree. The goal of statistics is to quantify the amount of uncertainty around the conclusions that are made based on a sample of data. In general, . is the (systematic) proce
祝贺
发表于 2025-3-22 21:04:31
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出处
发表于 2025-3-22 21:12:49
Dimension Reductiont or non-informative, which generally hinders the ability of most machine learning algorithms to perform efficiently. A common approach to address these issues is to check whether a low-dimensional structure can be detected within these high-dimensional data. If the answer is yes, then we can identi
谄媚于人
发表于 2025-3-23 04:31:10
Classificationuss aspects common to general classification methods. This includes an extension of measures for binary decision-making to multi-class classification problems. As we will see, this extension is not trivial, because the contingency table becomes multi-dimensional when conditioned on different classes
myopia
发表于 2025-3-23 06:42:26
Hypothesis Testingriginated from statistics, hypothesis testing has complex interdependencies between its procedural components, which makes it hard to thoroughly comprehend. In this chapter, we discuss the underlying logic behind statistical hypothesis testing and the formal meaning of its components and their conne