重磅！15套免費(fèi)的自然語(yǔ)言處理NLP課程及經(jīng)典教材分享！

https://blog.csdn.net/weixin_40400177/article/details/104601773

15套免費(fèi)的NLP課程及經(jīng)典教材分享！

1、自然語(yǔ)言處理圣經(jīng)—《自然語(yǔ)言處理綜論》

Dan Jurafsky and James Martin
https://web.stanford.edu/~jurafsky/slp3/

2、視頻課程《深度學(xué)習(xí)與自然語(yǔ)言處理-2018》

Richard Socher (Stanford University)
https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

3、Natural Language Processing (NLP)

Microsoft

https://www.edx.org/course/natural-language-processing-3

4、吳恩達(dá)經(jīng)典課程 - Machine Learning —Coursera

https://www.coursera.org/learn/machine-learning/home/welcome

5、斯坦福 Natural Language Processing with Deep Learning

視頻：https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
課程資源：http://web.stanford.edu/class/cs224n/

6、Coursea免費(fèi)課程 - Sequence Models for Time Series and Natural Language Processing

https://www.coursera.org/learn/sequence-models-tensorflow-gcp?ranMID=40328&ranEAID=SAyYsTvLiGQ&ranSiteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&siteID=SAyYsTvLiGQ-ACNikbtJvh2d5Evme5yZQA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ

7、免費(fèi)課程《深度自然語(yǔ)言處理》- Hilary Term 2017 at the University of Oxford

http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/

8、免費(fèi)課程《基于Python的自然語(yǔ)言處理基礎(chǔ)課程》- Datacamp

https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python

9、 Coursera免費(fèi)課程《自然語(yǔ)言處理》- Higher School of Economics

https://www.coursera.org/learn/language-processing?

10、 Coursera免費(fèi)課程《不需要寫代碼如何搭建Chatbot》- IBM

https://www.coursera.org/learn/how-to-build-your-own-chatbot-without-coding

11、 CS 388 -《自然語(yǔ)言處理》- University of Texas

https://www.cs.utexas.edu/~mooney/cs388/

12、 書籍《基于Python的自然語(yǔ)言處理》

http://www.nltk.org/book/

13、 視頻課程自然語(yǔ)言處理 - University of Washington

https://courses.cs.washington.edu/courses/csep517/17sp/

14、Dan Jurafsky & Chris Manning: Natural Language Processing

視頻：https://www.youtube.com/playlist?list=PL8FFE3F391203C98C

15、 NATURAL LANGUAGE PROCESSING - Carnegie Mellon University

http://demo.clab.cs.cmu.edu/NLP/