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fe4ml-zh's Introduction

面向机器学习的特征工程

原文(注册后可阅读):Feature Engineering for Machine Learning (Early Release)

协议:CC BY-NC-SA 4.0

欢迎任何人参与和完善:一个人可以走的很快,但是一群人却可以走的更远

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ApacheCN 纯粹出于学习目的与个人兴趣翻译本书,不追求任何经济利益。

本译文只供学习研究参考之用,不得用于商业用途。ApacheCN 保留对此版本译文的署名权及其它相关权利。

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fe4ml-zh's Issues

translation issue

Firstly many thanks to the author for sharing all the whole chinese translation of this book with great effort paid.

However still something got not quite comfortable on the translation.
I just picked up 2 chapters to read up to now and found some of sentences seem to be done by inferior translating apps.

To illustrate by one example, one paragraph in 'Bin counting' part in chapter 7 was given by author as 'bin-counting的想法非常简单:而不是使用分类变量作为特征,而不是使用条件概率的目标在该价值下。 换句话说,而不是编码的身份分类值,计算该值和该值之间的关联统计量我们希望预测的目标。'. While actuallly the original text is 'The idea of bin counting is deviously simple: rather than using the value of the cate‐
gorical variable as the feature, instead use the conditional probability of the target
under that value. In other words, instead of encoding the identity of the categorical
value, we compute the association statistics between that value and the target that we
wish to predict.' It's obviously this kind of issue cannot be made by the people, which can only be explained by inferior apps and the author did not look through it clearly.

I am writing it only to remind author of that, maybe you were busy and neglected the translation issue.

BR

TODO

  • 排版
  • 添加第九章

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