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Title: GitHub - apachecn/ailearning: AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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https://github.com/apachecn/MachineLearning#1机器学习---基础
https://github.com/apachecn/MachineLearning#基本介绍
https://github.com/apachecn/datahttps://github.com/apachecn/data
apachecn/data#3https://github.com/apachecn/data/issues/3
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https://github.com/apachecn/data/tree/master/深度学习https://github.com/apachecn/data/tree/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0
https://github.com/apachecn/data/tree/master/推荐系统https://github.com/apachecn/data/tree/master/%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F
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https://github.com/apachecn/MachineLearning#学习文档
第 1 章: 机器学习基础https://github.com/apachecn/ailearning/blob/master/docs/ml/1.md
@毛红动https://github.com/ElmaDavies
第 2 章: KNN 近邻算法https://github.com/apachecn/ailearning/blob/master/docs/ml/2.md
@尤永江https://github.com/youyj521
第 3 章: 决策树https://github.com/apachecn/ailearning/blob/master/docs/ml/3.md
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第 5 章: Logistic回归https://github.com/apachecn/ailearning/blob/master/docs/ml/5.md
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第 6 章: SVM 支持向量机https://github.com/apachecn/ailearning/blob/master/docs/ml/6.md
@王德红https://github.com/VPrincekin
第 7 章: 集成方法（随机森林和 AdaBoost）https://github.com/apachecn/ailearning/blob/master/docs/ml/7.md
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第 8 章: 回归https://github.com/apachecn/ailearning/blob/master/docs/ml/8.md
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第 9 章: 树回归https://github.com/apachecn/ailearning/blob/master/docs/ml/9.md
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第 10 章: K-Means 聚类https://github.com/apachecn/ailearning/blob/master/docs/ml/10.md
@徐昭清https://github.com/xuzhaoqing
第 11 章: 利用 Apriori 算法进行关联分析https://github.com/apachecn/ailearning/blob/master/docs/ml/11.md
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第 12 章: FP-growth 高效发现频繁项集https://github.com/apachecn/ailearning/blob/master/docs/ml/12.md
@程威https://github.com/mikechengwei
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第 16 章: 推荐系统（已迁移）https://github.com/apachecn/ailearning/blob/master/docs/ml/16.md
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2017-04-08: 第一期的总结https://github.com/apachecn/ailearning/blob/master/docs/report/2017-04-08.md
https://github.com/apachecn/MachineLearning#网站视频
知乎问答-爆炸啦-机器学习该怎么入门？https://www.zhihu.com/question/20691338/answer/248678328
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神经网络和深度学习http://mooc.study.163.com/course/2001281002?tid=2001392029
https://github.com/apachecn/MachineLearning#2深度学习
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反向传递https://github.com/apachecn/ailearning/blob/master/docs/dl/%E5%8F%8D%E5%90%91%E4%BC%A0%E9%80%92.md
https://www.cnblogs.com/charlotte77/p/5629865.htmlhttps://www.cnblogs.com/charlotte77/p/5629865.html
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https://github.com/apachecn/MachineLearning#pytorch---教程
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安装指南https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/%E5%AE%89%E8%A3%85%E6%8C%87%E5%8D%97.md
Keras 快速入门https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/Keras%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8.md
实战项目 1 电影情感分类https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE_1_%E7%94%B5%E5%BD%B1%E6%83%85%E6%84%9F%E5%88%86%E7%B1%BB.md
实战项目 2 汽车燃油效率https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE_2_%E6%B1%BD%E8%BD%A6%E7%87%83%E6%B2%B9%E6%95%88%E7%8E%87.md
实战项目 3 优化 过拟合和欠拟合https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE_3_%E4%BC%98%E5%8C%96_%E8%BF%87%E6%8B%9F%E5%90%88%E5%92%8C%E6%AC%A0%E6%8B%9F%E5%90%88.md
实战项目 4 古诗词自动生成https://github.com/apachecn/ailearning/blob/master/docs/TensorFlow2.x/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE_4_%E5%8F%A4%E8%AF%97%E8%AF%8D%E8%87%AA%E5%8A%A8%E7%94%9F%E6%88%90.md
https://www.biaodianfu.com/nltk.html/amphttps://www.biaodianfu.com/nltk.html/amp
https://github.com/lyhue1991/eat_tensorflow2_in_30_dayshttps://github.com/lyhue1991/eat_tensorflow2_in_30_days
https://github.com/apachecn/MachineLearning#3自然语言处理
https://github.com/apachecn/ailearning/blob/master/nlp/img/F94581F64C21A1094A473397DFA42F9C.jpg
https://github.com/apachecn/AiLearning/tree/master/nlphttps://github.com/apachecn/AiLearning/tree/master/nlp
https://github.com/apachecn/NLP-with-PyTorchhttps://github.com/apachecn/NLP-with-PyTorch
https://usyiyi.github.io/nlp-py-2e-zhhttps://usyiyi.github.io/nlp-py-2e-zh
liuhuanyong大佬https://github.com/liuhuanyong
https://liuhuanyong.github.iohttps://liuhuanyong.github.io
https://www.cnblogs.com/Darwin2000/p/5786984.htmlhttps://www.cnblogs.com/Darwin2000/p/5786984.html
https://ai.tencent.com/ailab/nlp/embedding.htmlhttps://ai.tencent.com/ailab/nlp/embedding.html
https://blog.csdn.net/xiezj007/article/details/85073890https://blog.csdn.net/xiezj007/article/details/85073890
https://github.com/Embedding/Chinese-Word-Vectorshttps://github.com/Embedding/Chinese-Word-Vectors
https://github.com/brightmart/nlp_chinese_corpushttps://github.com/brightmart/nlp_chinese_corpus
https://github.com/codemayq/chinese_chatbot_corpushttps://github.com/codemayq/chinese_chatbot_corpus
https://github.com/candlewill/Dialog_Corpushttps://github.com/candlewill/Dialog_Corpus
https://github.com/apachecn/MachineLearning#1使用场景-百度公开课
自然语言处理入门介绍https://github.com/apachecn/ailearning/blob/master/docs/nlp/1.%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E5%85%A5%E9%97%A8%E4%BB%8B%E7%BB%8D.md
机器翻译https://github.com/apachecn/ailearning/blob/master/nlp/2.%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md
篇章分析-内容概述https://github.com/apachecn/ailearning/blob/master/docs/nlp/3.1.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E5%86%85%E5%AE%B9%E6%A6%82%E8%BF%B0.md
篇章分析-内容标签https://github.com/apachecn/ailearning/blob/master/docs/nlp/3.2.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E5%86%85%E5%AE%B9%E6%A0%87%E7%AD%BE.md
篇章分析-情感分析https://github.com/apachecn/ailearning/blob/master/docs/nlp/3.3.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90.md
篇章分析-自动摘要https://github.com/apachecn/ailearning/blob/master/docs/nlp/3.4.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E8%87%AA%E5%8A%A8%E6%91%98%E8%A6%81.md
UNIT-语言理解与交互技术https://github.com/apachecn/ailearning/blob/master/docs/nlp/4.UNIT-%E8%AF%AD%E8%A8%80%E7%90%86%E8%A7%A3%E4%B8%8E%E4%BA%A4%E4%BA%92%E6%8A%80%E6%9C%AF.md
https://github.com/apachecn/MachineLearning#应用领域
https://github.com/apachecn/MachineLearning#中文分词
https://github.com/apachecn/MachineLearning#1文本分类text-classification
路透社Newswire主题分类http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html
另见RCV1，RCV2和TRC2http://trec.nist.gov/data/reuters/reuters.html
IMDB电影评论情感分类（斯坦福）http://ai.stanford.edu/~amaas/data/sentiment
新闻组电影评论情感分类（康奈尔）http://www.cs.cornell.edu/people/pabo/movie-review-data/
单标签文本分类的数据集http://ana.cachopo.org/datasets-for-single-label-text-categorization
https://www.kaggle.com/c/word2vec-nlp-tutorialhttps://www.kaggle.com/c/word2vec-nlp-tutorial
https://github.com/apachecn/MachineLearning#2语言模型language-modeling
古腾堡项目https://www.gutenberg.org/
布朗大学现代美国英语标准语料库https://en.wikipedia.org/wiki/Brown_Corpus
谷歌10亿字语料库https://github.com/ciprian-chelba/1-billion-word-language-modeling-benchmark
https://github.com/zhanzecheng/Chinese_segment_augmenthttps://github.com/zhanzecheng/Chinese_segment_augment
https://www.kaggle.com/c/quora-question-pairshttps://www.kaggle.com/c/quora-question-pairs
https://github.com/apachecn/MachineLearning#3图像字幕image-captioning
上下文中的公共对象（COCO）http://mscoco.org/dataset/#overview
Flickr 8Khttp://nlp.cs.illinois.edu/HockenmaierGroup/8k-pictures.html
Flickr 30Khttp://shannon.cs.illinois.edu/DenotationGraph/
探索图像字幕数据集，2016年http://sidgan.me/technical/2016/01/09/Exploring-Datasets
https://github.com/apachecn/MachineLearning#4机器翻译machine-translation
加拿大第36届议会的协调国会议员https://www.isi.edu/natural-language/download/hansard/
欧洲议会诉讼平行语料库1996-2011http://www.statmt.org/europarl/
统计机器翻译http://www.statmt.org/
http://pytorch.apachecn.org/cn/tutorials/intermediate/seq2seq_translation_tutorial.htmlhttp://pytorch.apachecn.org/cn/tutorials/intermediate/seq2seq_translation_tutorial.html
https://github.com/apachecn/MachineLearning#5问答系统question-answering
斯坦福问题回答数据集（SQuAD）https://rajpurkar.github.io/SQuAD-explorer/
Deepmind问题回答语料库https://github.com/deepmind/rc-data
亚马逊问答数据http://jmcauley.ucsd.edu/data/amazon/qa/
数据集: 我如何获得问答网站的语料库，如Quora或Yahoo Answers或Stack Overflow来分析答案质量？https://www.quora.com/Datasets-How-can-I-get-corpus-of-a-question-answering-website-like-Quora-or-Yahoo-Answers-or-Stack-Overflow-for-analyzing-answer-quality
https://github.com/apachecn/MachineLearning#6语音识别speech-recognition
TIMIT声学 - 语音连续语音语料库https://catalog.ldc.upenn.edu/LDC93S1
VoxForgehttp://voxforge.org/
LibriSpeech ASR语料库http://www.openslr.org/12/
https://github.com/apachecn/MachineLearning#7自动文摘document-summarization
法律案例报告数据集https://archive.ics.uci.edu/ml/datasets/Legal+Case+Reports
TIPSTER文本摘要评估会议语料库http://www-nlpir.nist.gov/related_projects/tipster_summac/cmp_lg.html
英语新闻文本的AQUAINT语料库https://catalog.ldc.upenn.edu/LDC2002T31
文档理解会议（DUC）任务http://www-nlpir.nist.gov/projects/duc/data.html
在哪里可以找到用于文本摘要的良好数据集？https://www.quora.com/Where-can-I-find-good-data-sets-for-text-summarization
http://pytorch.apachecn.org/cn/tutorials/beginner/nlp/advanced_tutorial.htmlhttp://pytorch.apachecn.org/cn/tutorials/beginner/nlp/advanced_tutorial.html
https://www.jianshu.com/p/55755fc649b1https://www.jianshu.com/p/55755fc649b1
https://www.zhihu.com/question/44832436/answer/266068967https://www.zhihu.com/question/44832436/answer/266068967
https://blog.csdn.net/BaiHuaXiu123/article/details/77847232https://blog.csdn.net/BaiHuaXiu123/article/details/77847232
https://github.com/apachecn/MachineLearning#graph图计算慢慢更新
https://github.com/apachecn/data/tree/master/graphhttps://github.com/apachecn/data/tree/master/graph
https://github.com/apachecn/MachineLearning#知识图谱
SimmerChanhttps://www.zhihu.com/people/simmerchan
【知识图谱-给AI装个大脑】https://zhuanlan.zhihu.com/knowledgegraph
https://github.com/apachecn/MachineLearning#进一步阅读
维基百科研究中使用的文本数据集https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research#Text_data
数据集: 计算语言学家和自然语言处理研究人员使用的主要文本语料库是什么？https://www.quora.com/Datasets-What-are-the-major-text-corpora-used-by-computational-linguists-and-natural-language-processing-researchers-and-what-are-the-characteristics-biases-of-each-corpus
斯坦福统计自然语言处理语料库https://nlp.stanford.edu/links/statnlp.html#Corpora
按字母顺序排列的NLP数据集列表https://github.com/niderhoff/nlp-datasets
该机构NLTKhttp://www.nltk.org/nltk_data/
在DL4J上打开深度学习数据https://deeplearning4j.org/opendata
NLP数据集https://github.com/caesar0301/awesome-public-datasets#natural-language
https://bosonnlp.com/dev/resourcehttps://bosonnlp.com/dev/resource
https://github.com/apachecn/MachineLearning#参考
比赛收集平台https://github.com/iphysresearch/DataSciComp
pbharrin/machinelearninginactionhttps://github.com/pbharrin/machinelearninginaction
ML Masteryhttps://machinelearningmastery.com/datasets-natural-language-processing
https://github.com/apachecn/MachineLearning#致谢
量子位https://www.zhihu.com/question/20472776/answer/691646493
人工智能前沿讲习https://mp.weixin.qq.com/s/f2dqulxOPkt7k5hqPsydyQ
https://github.com/apachecn/MachineLearning#赞助我们
https://camo.githubusercontent.com/4654925be4094d0aa03cc7d4c3a6ddbd700371eff1fb4a764a317d01c2778541/687474703a2f2f646174612e617061636865636e2e6f72672f696d672f61626f75742f646f6e6174652e6a7067
ailearning.apachecn.org/http://ailearning.apachecn.org/
python https://github.com/topics/python
nlp https://github.com/topics/nlp
svm https://github.com/topics/svm
scikit-learn https://github.com/topics/scikit-learn
sklearn https://github.com/topics/sklearn
regression https://github.com/topics/regression
logistic https://github.com/topics/logistic
dnn https://github.com/topics/dnn
lstm https://github.com/topics/lstm
pca https://github.com/topics/pca
rnn https://github.com/topics/rnn
deeplearning https://github.com/topics/deeplearning
kmeans https://github.com/topics/kmeans
adaboost https://github.com/topics/adaboost
apriori https://github.com/topics/apriori
fp-growth https://github.com/topics/fp-growth
svd https://github.com/topics/svd
naivebayes https://github.com/topics/naivebayes
mahchine-leaning https://github.com/topics/mahchine-leaning
recommendedsystem https://github.com/topics/recommendedsystem
Readme https://github.com/apachecn/MachineLearning#readme-ov-file
View license https://github.com/apachecn/MachineLearning#License-1-ov-file
Please reload this pagehttps://github.com/apachecn/MachineLearning
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Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fapachecn%2Failearning&report=apachecn+%28user%29
Releases 2https://github.com/apachecn/ailearning/releases
【机器学习实战】第二期-教学版本 Latest Oct 9, 2017 https://github.com/apachecn/ailearning/releases/tag/v2.0
+ 1 releasehttps://github.com/apachecn/ailearning/releases
Packages 0https://github.com/orgs/apachecn/packages?repo_name=ailearning
Contributors 43https://github.com/apachecn/ailearning/graphs/contributors
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