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Sebastian Raschka终于写完了他的这套博文系列《Model evaluation, model selection, and algorithm selection in machine learning》的第四章,非常详细地介绍了模型评测部分需要考虑的各种环节,需要一些统计基础。
前三篇连载都是两年前写的,当时看得也是获益匪浅,统计背景比较强的老师看模型和算法的角度会不太一样,非常推荐。
link:
1. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html
2. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html
3. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html
4. https://sebastianraschka.com/blog/2018/model-evaluation-selection-part4.html

Sebastian Raschka终于写完了他的这套博文系列《Model evaluation, model selection, and algorithm selection in machine learning》的第四章,非常详细地介绍了模型评测部分需要考虑的各种环节,需要一些统计基础。
前三篇连载都是两年前写的,当时看得也是获益匪浅,统计背景比较强的老师看模型和算法的角度会不太一样,非常推荐。
link:
1. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html
2. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html
3. https://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html
4. https://sebastianraschka.com/blog/2018/model-evaluation-selection-part4.html


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