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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。

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## 项目介绍

- 此项目是**机器学习、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。
- 既然是以面试为主要目的，亦不可以篇概全，请谅解，有问题可提出。
- 此项目以各个模块为切入点，让大家有一个清晰的知识体系。
- 此项目亦可拿来常读、常记以及面试时复习之用。
- 每一章里的问题都是面试时有可能问到的知识点，如有遗漏可联系我进行补充，结尾处都有算法的**实战代码案例**。
- 思维导图，**请关注 第5纪元 公众号并回复：NLP思维导图** ，即能下载高清大图。
- ![](https://raw.githubusercontent.com/NLP-LOVE/ML-NLP/master/images/qrcode.jpg)

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## 目录

- **项目持续更新中......**

| 模块     | 章节                                                         | 负责人(GitHub)                          | 联系QQ    |
| -------- | ------------------------------------------------------------ | --------------------------------------- | --------- |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | 5. 概率图模型(Probabilistic Graphical Model)                 |                                         |           |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [7.聚类(Clustering)](https://github.com/NLP-LOVE/ML-NLP/tree/master/Machine%20Learning/7.%20Clustering) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 机器学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| 深度学习 | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [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) | 448966528 |
| NLP      | [16.7 Transformer模型](https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.7%20Transformer) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |
| NLP      | [16.8 BERT模型](https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.8%20BERT) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |
| NLP      | [16.9 XLNet模型](https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.9%20XLNet) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |
| 项目     | [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) | 448966528 |
| 项目     | [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) | 448966528 |
| 项目     | 19. 知识图谱(Knowledge Graph)                                |                                         |           |
| 项目     | 20. 评论分析                                                 |                                         |           |

> 欢迎大家加入！共同完善此项目！

**其他项目推荐：** [personal-llm-api 轻量级的 LLM 接口服务](https://github.com/NLP-LOVE/personal-llm-api)

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