机器学习、深度学习、自然语言处理等人工智能基础知识总结。

Overview

说明

机器学习、深度学习、自然语言处理基础知识总结。

目前主要参考李航老师的《统计学习方法》一书,也有一些内容例如XGBoost聚类深度学习相关内容NLP相关内容等是书中未提及的。

由于github的markdown解析器不支持latex,因此笔记部分需要在本地使用Typora才能正常浏览,也可以直接访问下面给出的博客链接。

Document文件夹下为笔记,Code文件夹下为代码,Data文件夹下为某些代码所使用的数据集,Image文件夹下为笔记部分所用到的图片。

由于时间和精力有限,部分代码来自github开源项目,如Seq2Seq、Transformer等部分的代码。

机器学习

深度学习

自然语言处理

待添加部分

  • 主题模型
  • LightGBM
Owner
Peter
一条渴望进步的咸鱼
Peter
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