rustyml 0.15.0

# Summary

[简介](./简介.md)

- [快速上手](./Chapter-01/1.0._快速上手.md)
  - [认识RustyML](./Chapter-01/1.1._认识RustyML.md)
  - [安装与Feature配置](./Chapter-01/1.2._安装与Feature配置.md)
  - [使用ndarray准备数据](./Chapter-01/1.3._使用ndarray准备数据.md)
  - [第一个端到端模型](./Chapter-01/1.4._第一个端到端模型.md)
  - [Prelude与模块导入](./Chapter-01/1.5._Prelude与模块导入.md)
  - [错误处理](./Chapter-01/1.6._错误处理.md)
- [经典机器学习](./Chapter-02/2.0._经典机器学习.md)
  - [线性回归](./Chapter-02/2.1._线性回归.md)
  - [逻辑回归](./Chapter-02/2.2._逻辑回归.md)
  - [K近邻](./Chapter-02/2.3._K近邻.md)
  - [决策树](./Chapter-02/2.4._决策树.md)
  - [支持向量机](./Chapter-02/2.5._支持向量机.md)
  - [线性判别分析](./Chapter-02/2.6._线性判别分析.md)
  - [KMeans聚类](./Chapter-02/2.7._KMeans聚类.md)
  - [DBSCAN](./Chapter-02/2.8._DBSCAN.md)
  - [MeanShift](./Chapter-02/2.9._MeanShift.md)
  - [主成分分析](./Chapter-02/2.10._主成分分析.md)
  - [核主成分分析](./Chapter-02/2.11._核主成分分析.md)
  - [t-SNE](./Chapter-02/2.12._t-SNE.md)
  - [孤立森林](./Chapter-02/2.13._孤立森林.md)
- [神经网络](./Chapter-03/3.0._神经网络.md)
  - [Sequential模型](./Chapter-03/3.1._Sequential模型.md)
  - [全连接层与激活函数](./Chapter-03/3.2._全连接层与激活函数.md)
  - [损失函数](./Chapter-03/3.3._损失函数.md)
  - [优化器](./Chapter-03/3.4._优化器.md)
  - [卷积层](./Chapter-03/3.5._卷积层.md)
  - [池化层](./Chapter-03/3.6._池化层.md)
  - [循环层](./Chapter-03/3.7._循环层.md)
  - [正则化与归一化层](./Chapter-03/3.8._正则化与归一化层.md)
  - [权重保存与加载](./Chapter-03/3.9._权重保存与加载.md)
- [数据预处理](./Chapter-04/4.0._数据预处理.md)
  - [训练集与测试集划分](./Chapter-04/4.1._训练集与测试集划分.md)
  - [标准化与归一化](./Chapter-04/4.2._标准化与归一化.md)
  - [标签编码](./Chapter-04/4.3._标签编码.md)
- [模型评估](./Chapter-05/5.0._模型评估.md)
  - [回归指标](./Chapter-05/5.1._回归指标.md)
  - [分类指标](./Chapter-05/5.2._分类指标.md)
  - [聚类指标](./Chapter-05/5.3._聚类指标.md)
- [数学工具](./Chapter-06/6.0._数学工具.md)
  - [距离度量](./Chapter-06/6.1._距离度量.md)
  - [矩阵乘法](./Chapter-06/6.2._矩阵乘法.md)
  - [并行归约](./Chapter-06/6.3._并行归约.md)
- [进阶主题](./Chapter-07/7.0._进阶主题.md)
  - [可复现性与随机种子](./Chapter-07/7.1._可复现性与随机种子.md)
  - [深入模型持久化](./Chapter-07/7.2._深入模型持久化.md)
  - [性能调优与并行](./Chapter-07/7.3._性能调优与并行.md)
  - [按需裁剪与模块化集成](./Chapter-07/7.4._按需裁剪与模块化集成.md)