AI, Python, Cognitive Neuroscience
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PracticalAI: A practical approach to learning machine learning

By Goku Mohandas: https://lnkd.in/eyFbdCC

#machinelearning #naturallanguageprocessing #jupyter #python #pytorch


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✴️ @AI_Python_EN
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

Blog by Jay Alammar: https://lnkd.in/ejqSjnZ

#NaturalLanguageProcessing #NLP #TransferLearning

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✴️ @AI_Python_EN
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Writing Code for NLP Research

Slides by the Allen Institute for Artificial Intelligence: https://lnkd.in/eubgSGY

#naturallanguageprocessing #NLP #research

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Analysis Methods in Neural Language Processing: A Survey

Paper by Yonatan Belinkov, James Glass: https://lnkd.in/e9WDDpZ

#naturallanguageprocessing #deeplearning #ai #artificialintelligence #machinelearning

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#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn NLP:

β€’ The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://bit.ly/2QCCgR1
β€’ Practical Tutorial for Regular Expressions in #Python - https://bit.ly/2QBChVi
β€’ A Gentle Introduction to #TopicModeling - https://bit.ly/2QCCh7x
β€’ Comprehensive and Intuitive Guide to #WordEmbeddings - https://bit.ly/2VKR4Av
β€’ #TextClassification using ULMFiT and fastai Library in Python - https://bit.ly/2VHHEGa

And test your #NaturalLanguageProcessing knowledge on this challenging question set!

β€’ 30 Questions to test a data scientist on Natural Language Processing - https://bit.ly/2jfGGyT

πŸ—£ @AI_Python_Arxiv
✴️ @AI_Python_EN
#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn #NLP:

1. The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://lnkd.in/fiXS5Rj
2. Practical Tutorial for Regular Expressions in #Python - https://lnkd.in/fXw-Rdz
3. A Gentle Introduction to #TopicModeling - https://lnkd.in/fDXmt4n
4. Comprehensive and Intuitive Guide to #WordEmbeddings - https://lnkd.in/fvRrFhA
5. #TextClassification using #ULMFiT and #fastai Library in Python - https://lnkd.in/f7bu8jM

And test your #NaturalLanguageProcessing knowledge on this challenging question set!
30 Questions to test a data scientist on Natural Language Processing - https://lnkd.in/fpWBZUh

✴️ @AI_Python_EN
#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn #NLP:

1. The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://lnkd.in/fiXS5Rj
2. Practical Tutorial for Regular Expressions in #Python - https://lnkd.in/fXw-Rdz
3. A Gentle Introduction to #TopicModeling - https://lnkd.in/fDXmt4n
4. Comprehensive and Intuitive Guide to #WordEmbeddings - https://lnkd.in/fvRrFhA
5. #TextClassification using #ULMFiT and #fastai Library in Python - https://lnkd.in/f7bu8jM

And test your #NaturalLanguageProcessing knowledge on this challenging question set!
30 Questions to test a data scientist on Natural Language Processing - https://lnkd.in/fpWBZUh

✴️ @AI_Python_EN
Tracking Progress in Natural Language Processing

By Sebastian Ruder: https://lnkd.in/e6tkGHH

#deeplearning #machinelearning #naturallanguageprocessing

✴️ @AI_Python_EN
The Best and Most Current of Modern Natural Language Processing

Blog by Victor Sanh: https://lnkd.in/emch8gG

#NaturalLanguageProcessing #MachineLearning #NLP #DeepLearning #Research

✴️ @AI_Python_EN
**** Advanced NLP with spaCy ****

Credits - Ines Montani

Link - https://course.spacy.io/

#nlp #spacy #naturallanguageprocessing #machinelearing
#datascience

✴️ @AI_Python_EN
Computational Narrative Intelligence and the Quest for the Great Automatic Grammatizator
Slides by Mark Riedl: https://www.dropbox.com/s/2o8enj7amaxxx1y/naacl-nu-ws.pdf?dl=0
#ArtificialIntelligence #MachineLearning #NaturalLanguageProcessing

✴️ @AI_Python_EN
Text similarity
Are these two sentences similar ?!
1) President greets the press in Chicago
2) Obama speaks in Illinois


β€” Jaccard
β€” Cosine
β€” WMD

#naturallanguageprocessing


https://medium.com/@adriensieg/text-similarities-da019229c894

✴️ @AI_Python_EN
A Review of β€œCompound Probabilistic Context-Free Grammars for Grammar Induction”

By Ryan Cotterell

https://lnkd.in/fVVvwud
paper https://lnkd.in/fr-U2vK

#MachineLearning
#NaturalLanguageProcessing #NLP

✴️ @AI_Python_EN
Swift Core ML 3 implementation of BERT for Question answering

Built Julien Chaumond, Lysandre Debut and Thomas Wolf at Hugging Face: https://lnkd.in/ejJabYh

#machinelearning #naturallanguageprocessing #nlp

✴️ @AI_Python_EN