# Courses, Tutorial, Learning resource

- [Introductory: NLP for hackers](https://nlpforhackers.io/deep-learning-introduction/)
- [Intermediate (by Jason Brownlee): Applications of Deep Learning for NLP](https://machinelearningmastery.com/applications-of-deep-learning-for-natural-language-processing/)
- [Learn Natural Language Processing: From Beginner to Expert](https://www.commonlounge.com/discussion/c1f472553ece4d68bad9bd423fb775cf)
- [Understanding Convolutional Neural Networks for NLP](http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/)
- [How to solve 90% of NLP problems: a step-by-step guide](https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e)
- [A framework for dialog research + datasets](https://parl.ai/)
- [How Rossum is using deep learning to extract data from any document](https://www.linkedin.com/posts/eric-feuilleaubois-ph-d-43ab0925_how-rossum-is-using-deep-learning-to-extract-activity-6605832802078347264-ZsW8)
- [Everything you need to know about Named Entity Recognition!!](https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master/natural-language-processing/ner.md)
- [NLP and Python books](https://www.linkedin.com/posts/inna-vogel-nlp_100daysofnlp-activity-6685064904925310976-KU-d)
- [Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability](https://arxiv.org/abs/1902.11116)
- See [Natural Language Processing (NLP)](../courses.md#naturallanguageprocessing-nlp) in [Courses](../courses.md#courses)

# Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the [CONTRIBUTING](../CONTRIBUTING.md) guidelines, also have a read about our [licensing](../LICENSE.md) policy.

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Back to [NLP page (table of contents)](README.md)</br>
Back to [main page (table of contents)](../README.md)
