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GPL-3.0 license	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#machinelearning
ApacheCN 开源组织	https://github.com/apachecn/organization
https://github.com/apachecn/organization	https://github.com/apachecn/organization
	https://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef
ApacheCN(apache中文网)	http://cwiki.apachecn.org/
【机器学习实战-中文版-带目录版.pdf】	https://github.com/apachecn/MachineLearning/tree/master/books
群小哥哥：Wizard Zhang	https://github.com/wizardforcel
《机器学习实战-ApacheCN.pdf》	https://github.com/apachecn/MachineLearning/blob/master/books/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98-ApacheCN.pdf
群小哥哥：红色石头的机器学习之路	https://github.com/RedstoneWill
台湾大学林轩田机器学习基石课程 - 系列学习笔记	https://mp.weixin.qq.com/s/xb0i55zIQVzCiSZALbvncg
机器学习笔记	https://feisky.xyz/machine-learning
https://feisky.xyz/machine-learning	https://feisky.xyz/machine-learning
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#机器学习
第 1 章: 机器学习基础	https://github.com/apachecn/MachineLearning/blob/master/docs/1.机器学习基础.md
@毛红动	https://github.com/ElmaDavies
第 2 章: KNN 近邻算法	https://github.com/apachecn/MachineLearning/blob/master/docs/2.k-近邻算法.md
@尤永江	https://github.com/youyj521
第 3 章: 决策树	https://github.com/apachecn/MachineLearning/blob/master/docs/3.决策树.md
@景涛	https://github.com/jingwangfei
第 4 章: 朴素贝叶斯	https://github.com/apachecn/MachineLearning/blob/master/docs/4.朴素贝叶斯.md
@wnma3mz	https://github.com/wnma3mz
@分析	https://github.com/kailian
第 5 章: Logistic回归	https://github.com/apachecn/MachineLearning/blob/master/docs/5.Logistic回归.md
@微光同尘	https://github.com/DataMonk2017
第 6 章: SVM 支持向量机	https://github.com/apachecn/MachineLearning/blob/master/docs/6.支持向量机.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/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
@片刻	https://github.com/jiangzhonglian
第 8 章: 回归	https://github.com/apachecn/MachineLearning/blob/master/docs/8.回归.md
@微光同尘	https://github.com/DataMonk2017
第 9 章: 树回归	https://github.com/apachecn/MachineLearning/blob/master/docs/9.树回归.md
@微光同尘	https://github.com/DataMonk2017
第 10 章: K-Means 聚类	https://github.com/apachecn/MachineLearning/blob/master/docs/10.k-means聚类.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/MachineLearning/blob/master/docs/11.使用Apriori算法进行关联分析.md
@刘海飞	https://github.com/WindZQ
第 12 章: FP-growth 高效发现频繁项集	https://github.com/apachecn/MachineLearning/blob/master/docs/12.使用FP-growth算法来高效发现频繁项集.md
@程威	https://github.com/mikechengwei
第 13 章: 利用 PCA 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/13.利用PCA来简化数据.md
@廖立娟	https://github.com/lljuan330
第 14 章: 利用 SVD 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/14.利用SVD简化数据.md
@张俊皓	https://github.com/marsjhao
第 15 章: 大数据与 MapReduce	https://github.com/apachecn/MachineLearning/blob/master/docs/15.大数据与MapReduce.md
第 16 章: 推荐系统	https://github.com/apachecn/MachineLearning/blob/master/docs/16.推荐系统.md
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#深度学习deeplearning--正在更新迭代
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机器翻译	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/docs/NLP/2.%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md
篇章分析-内容概述	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning#自然语言处理nlp---相关项目
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/images/NLP/F94581F64C21A1094A473397DFA42F9C.jpg
https://github.com/apachecn/MachineLearning/tree/dev/docs/NLP	https://github.com/apachecn/MachineLearning/tree/dev/docs/NLP
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#中文分词
	https://patch-diff.githubusercontent.com/echoTomei/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TRC2	http://trec.nist.gov/data/reuters/reuters.html
http://ai.stanford.edu/~amaas/data/sentiment/	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-tutorial	https://www.kaggle.com/c/word2vec-nlp-tutorial
	https://patch-diff.githubusercontent.com/echoTomei/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://patch-diff.githubusercontent.com/echoTomei/MachineLearning#3图像字幕image-captioning
上下文中的公共对象（COCO）	http://mscoco.org/dataset/#overview
Flickr 8K	http://nlp.cs.illinois.edu/HockenmaierGroup/8k-pictures.html
Flickr 30K	http://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://patch-diff.githubusercontent.com/echoTomei/MachineLearning#4机器翻译machine-translation
http://pytorch.apachecn.org/cn/tutorials/intermediate/seq2seq_translation_tutorial.html	http://pytorch.apachecn.org/cn/tutorials/intermediate/seq2seq_translation_tutorial.html
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1996-2011	http://www.statmt.org/europarl/
统计机器翻译	http://www.statmt.org/
	https://patch-diff.githubusercontent.com/echoTomei/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://patch-diff.githubusercontent.com/echoTomei/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
VoxForge	http://voxforge.org/
LibriSpeech ASR语料库	http://www.openslr.org/12/
	https://patch-diff.githubusercontent.com/echoTomei/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.html	http://pytorch.apachecn.org/cn/tutorials/beginner/nlp/advanced_tutorial.html
	https://patch-diff.githubusercontent.com/echoTomei/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NLTK	http://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/resource	https://bosonnlp.com/dev/resource
	https://patch-diff.githubusercontent.com/echoTomei/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
MachineLearning(机器学习) 学习路线图	http://www.apachecn.org/map/145.html
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/images/MainPage/ApacheCN-ML-bilibili-compare.jpg
《机器学习实战-教学版》	https://space.bilibili.com/97678687/#!/channel/detail?cid=22486
《机器学习实战-讨论版》	https://space.bilibili.com/97678687/#!/channel/detail?cid=13045
机器学习初学者建议 \| ApacheCN	http://www.apachecn.org/map/179.html
MachineLearning(机器学习) 学习路线图	http://www.apachecn.org/map/145.html
@于振梓	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev
可汗学院(概率)	http://open.163.com/special/Khan/probability.html
可汗学院(统计学)	http://open.163.com/special/Khan/khstatistics.html
可汗学院(线性代数)	http://open.163.com/special/Khan/linearalgebra.html
	http://www.acfun.cn/u/12540256.aspx#page=1
	https://space.bilibili.com/97678687/#!/channel/index
	http://i.youku.com/apachecn
	http://study.163.com/course/courseMain.htm?courseId=1004582003
吴恩达机器学习	http://study.163.com/course/courseMain.htm?courseId=1004570029
神经网络和深度学习	http://mooc.study.163.com/course/2001281002?tid=2001392029
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#项目负责人
@片刻	https://github.com/jiangzhonglian
@那伊抹微笑	https://github.com/wangyangting
@瑶妹	https://github.com/chenyyx
2017-04-08_第一期的总结	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev/report/2017-04-08_%E7%AC%AC%E4%B8%80%E6%9C%9F%E7%9A%84%E6%80%BB%E7%BB%93.md
@片刻	https://github.com/jiangzhonglian
@那伊抹微笑	https://github.com/wangyangting
@瑶妹	https://github.com/chenyyx
@Mike	https://github.com/mikechengwei
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#项目贡献者
@侯法超	https://github.com/geekidentity
@hello19883	https://github.com/hello19883
@徐鑫	https://github.com/sheepmen
@ibe	https://github.com/highfei2011
@Arithmetic	https://github.com/LeeMoonCh
@Veyron C	https://github.com/caopeirui
@Cugtyt	https://github.com/Cugtyt
@BBruceyuan	https://github.com/hey-bruce
	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning#群管理员换届
@瑶妹	https://github.com/chenyyx
@飞龙	https://github.com/wizardforcel
@片刻	https://github.com/jiangzhonglian
@伪文艺.	https://github.com/Watermelon233
@那伊抹微笑	https://github.com/wangyangting
@LAMDA-健忘症	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev
@易漠	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev
@Mike	https://github.com/mikechengwei
@Books	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev
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@李孟禹	https://patch-diff.githubusercontent.com/echoTomei/MachineLearning/blob/dev
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ApacheCN(apache中文网) 维护更新	http://www.apachecn.org
关于我们	http://cwiki.apachecn.org/pages/viewpage.action?pageId=2887240
加入我们	http://cwiki.apachecn.org/pages/viewpage.action?pageId=2887239
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https://machinelearningmastery.com/datasets-natural-language-processing	https://machinelearningmastery.com/datasets-natural-language-processing
ml.apachecn.org/mlia	http://ml.apachecn.org/mlia
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