{"id":13594482,"url":"https://github.com/NLP-LOVE/ML-NLP","last_synced_at":"2025-04-09T07:32:47.993Z","repository":{"id":37415326,"uuid":"195408640","full_name":"NLP-LOVE/ML-NLP","owner":"NLP-LOVE","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。","archived":false,"fork":false,"pushed_at":"2022-06-21T02:40:13.000Z","size":11965,"stargazers_count":15554,"open_issues_count":34,"forks_count":4498,"subscribers_count":383,"default_branch":"master","last_synced_at":"2024-08-02T16:52:30.873Z","etag":null,"topics":["deep-learning","machine-learning","nlp"],"latest_commit_sha":null,"homepage":"http://mantchs.com/","language":"Jupyter 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Notebook","readme":"## 项目介绍\n\n- 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。\n- 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。\n- 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。\n- 此项目亦可拿来常读、常记以及面试时复习之用。\n- 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**。\n- 思维导图，**请关注 AIArea 公众号并回复：NLP思维导图** ，即能下载高清大图。\n- ![](https://github.com/NLP-LOVE/Introduction-NLP/raw/master/img/2020-2-3_16-0-25.png?raw=true)\n\n\n------\n\n\n\n## 目录\n\n- **项目持续更新中......**\n\n| 模块     | 章节                                                         | 负责人(GitHub)                          | 联系QQ    |\n| -------- | ------------------------------------------------------------ | --------------------------------------- | --------- |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 机器学习 | 5. 概率图模型(Probabilistic Graphical Model)                 |                                         |           |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 深度学习 | [14.强化学习(Reinforcement) \u0026 多任务](https://github.com/NLP-LOVE/ML-NLP/tree/master/Deep%20Learning/14.%20Reinforcement%20Learning) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| NLP      | [16.4 textRNN \u0026 textCNN](https://github.com/NLP-LOVE/ML-NLP/tree/master/NLP/16.4%20textRNN%20%26%20textCNN) | [@mantchs](https://github.com/NLP-LOVE) | 448966528 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 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 |\n| 项目     | 19. 知识图谱(Knowledge Graph)                                |                                         |           |\n| 项目     | 20. 评论分析                                                 |                                         |           |\n\n\n\n\u003e 欢迎大家加入！共同完善此项目！NLP学习QQ2群【207576902】\u003ca target=\"_blank\" href=\"http://shang.qq.com/wpa/qunwpa?idkey=1defd70810d9e67ca6ab3a30e1425a8a358139315a186dd2192d82a4c0ca1ce9\"\u003e\u003cimg border=\"0\" src=\"http://pub.idqqimg.com/wpa/images/group.png\" alt=\"NLP学习群②\" title=\"NLP学习群②\"\u003e\u003c/a\u003e\n","funding_links":[],"categories":["Jupyter Notebook","Machine Learning","Table of Contents","其他_机器学习与深度学习","算法"],"sub_categories":["2. Documentation"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNLP-LOVE%2FML-NLP","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FNLP-LOVE%2FML-NLP","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNLP-LOVE%2FML-NLP/lists"}