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2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

C++ 2.61% Python 57.69% Jupyter Notebook 39.70%

algorithm_interview_notes-chinese's Introduction

算法/深度学习/NLP面试笔记

GitHub 地址:https://github.com/imhuay/Algorithm_Interview_Notes-Chinese

RoadMap

欢迎分享你在面试中遇见的问题!

  • 你可以直接以你遇到的问题作为 issue 标题,然后分享你的回答或者其他参考资料。
  • 我会经常修改文档的结构。如果文中有链接失效,请告诉我!

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algorithm_interview_notes-chinese's Issues

规则的有效性说法有误

Lift(X→Y) <=1 的 X→Y 是有效的强关联规则——### 无效
“茶叶→咖啡”的支持度:Support(X→Y) = 450 / 1000 = 45%——### Support(X→Y) = 450 / 500 = 90%

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