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Title: GitHub - java-swift/ML-NLP: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Open Graph Title: GitHub - java-swift/ML-NLP: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

X Title: GitHub - java-swift/ML-NLP: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Description: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。 - java-swift/ML-NLP

Open Graph Description: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。 - java-swift/ML-NLP

X Description: 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。 - java-swift/ML-NLP

Opengraph URL: https://github.com/java-swift/ML-NLP

X: @github

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	https://patch-diff.githubusercontent.com/java-swift/ML-NLP#项目介绍
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	https://patch-diff.githubusercontent.com/java-swift/ML-NLP#目录
1. 线性回归(Liner Regression)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/Liner%20Regression/1.Liner%20Regression.md
@mantchs	https://github.com/NLP-LOVE
2. 逻辑回归(Logistics Regression)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/2.Logistics%20Regression/2.Logistics%20Regression.md
@mantchs	https://github.com/NLP-LOVE
3. 决策树(Desision Tree)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/3.Desition%20Tree/Desition%20Tree.md
@mantchs	https://github.com/NLP-LOVE
3.1 随机森林(Random Forest)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/3.1%20Random%20Forest/3.1%20Random%20Forest.md
@mantchs	https://github.com/NLP-LOVE
3.2 梯度提升决策树(GBDT)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/3.2%20GBDT/3.2%20GBDT.md
@mantchs	https://github.com/NLP-LOVE
3.3 XGBoost	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/3.3%20XGBoost/3.3%20XGBoost.md
@mantchs	https://github.com/NLP-LOVE
3.4 LightGBM	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/3.4%20LightGBM/3.4%20LightGBM.md
@mantchs	https://github.com/NLP-LOVE
4. 支持向量机(SVM)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/4.%20SVM/4.%20SVM.md
@mantchs	https://github.com/NLP-LOVE
5.1 贝叶斯网络(Bayesian Network)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/5.1%20Bayes%20Network/5.1%20Bayes%20Network.md
@mantchs	https://github.com/NLP-LOVE
5.2 马尔科夫(Markov)	https://github.com/NLP-LOVE/ML-NLP/blob/master/Machine%20Learning/5.2%20Markov/5.2%20Markov.md
@mantchs	https://github.com/NLP-LOVE
5.3 主题模型(Topic Model)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/5.3%20Topic%20Model
@mantchs	https://github.com/NLP-LOVE
6.最大期望算法(EM)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/6.%20EM
@mantchs	https://github.com/NLP-LOVE
7.聚类(Clustering)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/7.%20Clustering
@mantchs	https://github.com/NLP-LOVE
8.ML特征工程和优化方法	https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/8.%20ML%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B%E5%92%8C%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95
@mantchs	https://github.com/NLP-LOVE
9.K近邻算法(KNN)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/9.%20KNN
@mantchs	https://github.com/NLP-LOVE
10.神经网络(Neural Network)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/10.%20Neural%20Network
@mantchs	https://github.com/NLP-LOVE
11. 卷积神经网络(CNN)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/11.%20CNN
@mantchs	https://github.com/NLP-LOVE
12. 循环神经网络(RNN)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/12.%20RNN
@mantchs	https://github.com/NLP-LOVE
12.1 门控循环单元(GRU)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/12.1%20GRU
@mantchs	https://github.com/NLP-LOVE
12.2 长短期记忆(LSTM)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/12.2%20LSTM
@mantchs	https://github.com/NLP-LOVE
13.迁移学习(Transfer)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/13.%20Transfer%20Learning
@mantchs	https://github.com/NLP-LOVE
14.强化学习(Reinforcement) & 多任务	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/14.%20Reinforcement%20Learning
@mantchs	https://github.com/NLP-LOVE
15. 深度学习的优化方法	https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/15.%20DL%20Optimizer
@mantchs	https://github.com/NLP-LOVE
16. 自然语言处理(NLP)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.%20NLP
@mantchs	https://github.com/NLP-LOVE
16.1 词嵌入(Word2Vec)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.1%20Word%20Embedding
@mantchs	https://github.com/NLP-LOVE
16.2 子词嵌入(fastText)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.2%20fastText
@mantchs	https://github.com/NLP-LOVE
16.3 全局向量词嵌入(GloVe)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.3%20GloVe
@mantchs	https://github.com/NLP-LOVE
16.4 textRNN & textCNN	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.4%20textRNN%20%26%20textCNN
@mantchs	https://github.com/NLP-LOVE
16.5 序列到序列模型(seq2seq)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.5%20seq2seq
@mantchs	https://github.com/NLP-LOVE
16.6 注意力机制(Attention Mechanism)	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.6%20Attention
@mantchs	https://github.com/NLP-LOVE
16.7 Transformer模型	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.7%20Transformer
@mantchs	https://github.com/NLP-LOVE
16.8 BERT模型	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.8%20BERT
@mantchs	https://github.com/NLP-LOVE
16.9 XLNet模型	https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.9%20XLNet
@mantchs	https://github.com/NLP-LOVE
17. 推荐系统(Recommendation System)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Project/17.%20Recommendation%20System
@mantchs	https://github.com/NLP-LOVE
18. 智能客服(Intelligent Customer Service)	https://github.com/NLP-LOVE/ML-NLP/tree/master/Project/18.%20Intelligent%20Customer%20Service
@mantchs	https://github.com/NLP-LOVE
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