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!!! warning

这不是入门文档, 会省略一些没必要的介绍和废话. 如果你是初学者, 请先学习一些基础知识。
```
这不是入门文档, 会省略一些没必要的介绍和废话. 如果你是初学者, 请先学习一些基础知识。
会更侧重于数学原理, 而不是代码实现。
会更侧重于数学原理, 而不是代码实现。
```

## 目录

### [传统机器学习](./traditional/index.md)

- [线性回归](./traditional/lr.md)
- [逻辑回归](./traditional/lr.md)
- [决策树](./traditional/dt.md)
- [支持向量机](./traditional/svm.md)
- [朴素贝叶斯](./traditional/nb.md)
- [K-近邻](./traditional/knn.md)
- [聚类](./traditional/clustering.md)
- [降维](./traditional/dimensionality-reduction.md)
- [集成学习](./traditional/ensemble.md)
- [特征工程](./traditional/feature-engineering.md)
- [异常检测](./traditional/anomaly-detection.md)
- [线性回归](./traditional/lr.md)
- [逻辑回归](./traditional/lr.md)
- [决策树](./traditional/dt.md)
- [支持向量机](./traditional/svm.md)
- [朴素贝叶斯](./traditional/nb.md)
- [K-近邻](./traditional/knn.md)
- [聚类](./traditional/clustering.md)
- [降维](./traditional/dimensionality-reduction.md)
- [集成学习](./traditional/ensemble.md)
- [特征工程](./traditional/feature-engineering.md)
- [异常检测](./traditional/anomaly-detection.md)

### [深度学习](./dl/index.md)

- [神经网络](./dl/nn.md)
- [卷积神经网络](./dl/cnn.md)
- [循环神经网络](./dl/rnn.md)
- [自编码器](./dl/autoencoder.md)
- [生成对抗网络](./dl/gan.md)
- [强化学习](./dl/rl.md)
- [迁移学习](./dl/transfer-learning.md)
- [注意力机制](./dl/attention.md)
- [BERT](./dl/bert.md)
- [VAE](./dl/vae.md)
- [Diffusion Models](./dl/diffusion.md)
- [Transformer](./dl/transformer.md)
- [Mamba](./dl/mamba.md)
- [NeRF](./dl/nerf.md)
- [Gaussian Splatting](./dl/gaussian-splatting.md)
- [神经网络](./dl/nn.md)
- [卷积神经网络](./dl/cnn.md)
- [循环神经网络](./dl/rnn.md)
- [自编码器](./dl/autoencoder.md)
- [生成对抗网络](./dl/gan.md)
- [强化学习](./dl/rl.md)
- [迁移学习](./dl/transfer-learning.md)
- [注意力机制](./dl/attention.md)
- [BERT](./dl/bert.md)
- [VAE](./dl/vae.md)
- [Diffusion Models](./dl/diffusion.md)
- [Transformer](./dl/transformer.md)
- [Mamba](./dl/mamba.md)
- [NeRF](./dl/nerf.md)
- [Gaussian Splatting](./dl/gaussian-splatting.md)

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