---
description: AI Knowledge and experiences
---

# Ai

## References

* [Artificial Intelligence | Udacity](https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898)

### Question generation

* [machine learning - What is the best question generation state of art with nlp? - Data Science Stack Exchange](https://datascience.stackexchange.com/questions/56476/what-is-the-best-question-generation-state-of-art-with-nlp)
* [GitHub - bloomsburyai/question-generation: Neural text-to-text question generation](https://github.com/bloomsburyai/question-generation)
* [Using Natural Language Processing for Smart Question Generation | Intel® Software](https://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation)
* [GitHub - adityasarvaiya/Automatic\_Question\_Generation](https://github.com/adityasarvaiya/Automatic_Question_Generation)
* [GitHub - indrajithi/genquest: Automatic question generation by using NLP](https://github.com/indrajithi/genquest)
* [Infusing NLU into Automatic Question Generation - ACL Anthology](https://www.aclweb.org/anthology/W16-6609/)
* [Papers With Code : Question Generation](https://paperswithcode.com/task/question-generation)
* [Question Generation: Using NLP to Solve “Inverse” Task](https://medium.com/@aleckretch/question-generation-using-nlp-to-solve-inverse-task-a92ff033bcf1)

### Data principles

* [http://vita.had.co.nz/papers/tidy-data.html](http://vita.had.co.nz/papers/tidy-data.html)

### Cheatsheet

* https://datavizcatalogue.com/search.html
* https://www.edwardtufte.com/tufte/
* https://www.business-science.io/learning-python/2018/11/18/data-science-python-cheatsheet.html?utm\_source=pocket-app\&utm\_medium=share
* https://policyviz.com/2018/08/07/dataviz-cheatsheet/?utm\_source=pocket-app\&utm\_medium=share
* https://www.kdnuggets.com/2018/08/data-visualization-cheatsheet.html?utm\_source=pocket-app\&utm\_medium=share
* https://hackernoon.com/deep-learning-cheat-sheet-25421411e460?utm\_source=pocket-app\&utm\_medium=share
* https://medium.com/towards-data-science/linear-algebra-cheat-sheet-for-deep-learning-cd67aba4526c?utm\_source=pocket-app\&utm\_medium=share
* https://machinelearningmastery.com/linear-algebra-cheat-sheet-for-machine-learning/?utm\_source=pocket-app\&utm\_medium=share
* http://www.datasciencecentral.com/profiles/blogs/deep-learning-cheat-sheet-using-python-libraries?utm\_source=pocket-app\&utm\_medium=share
* http://www.datasciencecentral.com/profiles/blogs/140-machine-learning-formulas?utm\_source=pocket-app\&utm\_medium=share
* https://www.analyticsvidhya.com/blog/2017/02/top-28-cheat-sheets-for-machine-learning-data-science-probability-sql-big-data/?utm\_source=pocket-app\&utm\_medium=share
* http://www.kdnuggets.com/2016/12/data-science-machine-learning-cheat-sheets-updated.html?utm\_source=pocket-app\&utm\_medium=share
* https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5?utm\_source=pocket-app\&utm\_medium=share
* https://machinelearningmastery.com/statistical-hypothesis-tests-in-python-cheat-sheet/?utm\_source=pocket-app\&utm\_medium=share
* https://stanford.edu/\~shervine/teaching/cs-229/cheatsheet-supervised-learning.html?utm\_source=pocket-app\&utm\_medium=share
* https://stanford.edu/\~shervine/teaching/cs-229/cheatsheet-deep-learning.html?utm\_source=pocket-app\&utm\_medium=share
* https://stanford.edu/\~shervine/teaching/cs-229/cheatsheet-unsupervised-learning.html?utm\_source=pocket-app\&utm\_medium=share
* https://github.com/afshinea/stanford-cs-229-machine-learning?utm\_source=pocket-app\&utm\_medium=share
* https://stanford.edu/\~shervine/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks.html?utm\_source=pocket-app\&utm\_medium=share
* https://www.analyticsvidhya.com/blog/2018/12/best-data-science-machine-learning-projects-github/?utm\_source=pocket-app\&utm\_medium=share
