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Machine-Learning

个人机器学习(Machine Learning, ML)笔记 参考多个学习资源 包含个人理解与总结 不能保证完全专业正确性 如有错误欢迎提出 期待您的补充贡献！

  • 机器学习：让机器去学习

目录

章节 小节 数学知识补充 参与贡献人
介 绍 什么是机器学习 Exrick
第 1 章: 机器学习基础 1.1: 认识机器学习中的数据 线性代数: 矩阵 Exrick
1.2: 机器学习的主要任务 Exrick
1.3: 机器学习算法的几大分类 Exrick
第 2 章: 机器学习相关工具安装与使用 2.1: Python3的安装 Exrick
2.2: 相关IDE的安装与使用 Exrick
2.3: Numpy的基本使用（一） Exrick
2.4: Numpy的基本使用（二） Exrick
2.5: Numpy的基本使用（三） Exrick
2.6: Matplotlib的基本使用 Exrick
2.7: Scikit-learn的简单探索 Exrick
第 3 章: 最简单的分类算法：k近邻算法 3.1: KNN算法原理与简单实现 Exrick
3.2: Scikit-learn中KNN算法的封装 Exrick

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参考

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