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Add Fast.ai free course to Machine Learning section Add new resource #13039
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Add Fast.ai free course to Machine Learning section Add new resource #13039
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eshellman
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good resource!
| * [Top 10 Machine Learning Algorithms Every Engineer Should Know](https://www.dezyre.com/article/top-10-machine-learning-algorithms/202) - Binny Mathews, Omair Aasim | ||
| * [Understanding Machine Learning: From Theory to Algorithms](https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning) - Shai Shalev-Shwartz, Shai Ben-David | ||
| * [User Guide - scikit-learn](https://scikit-learn.org/stable/user_guide.html) - Scikit-learn developers (HTML) (BSD) | ||
| * [User Guide - scikit-learn](https://scikit-learn.org/stable/user_guide.html) - Scikit-learn developers (HTML) |
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(BSD) is the license. keep it
| * [Operating Systems: From 0 to 1](https://github.com/tuhdo/os01/releases/tag/0.0.1) - Tu, Ho Doang (PDF) ( :construction: *in process*) | ||
| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) - Remzi H. Arpaci-Dusseau and Andrea C. Arpaci-Dusseau (PDF) | ||
| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) | ||
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| * [Dive into Deep Learning](https://d2l.ai) | ||
| * [Elements of AI](https://www.elementsofai.com) - MinnaLearn, University of Helsinki | ||
| * [Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises](https://web.stanford.edu/group/pdplab/pdphandbook) - James L. McClelland | ||
| * [Fast.ai - Practical Deep Learning for Coders](https://course.fast.ai) |
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| * [Fast.ai - Practical Deep Learning for Coders](https://course.fast.ai) | |
| * [Practical Deep Learning for Coders](https://course.fast.ai) - Fast.ai |
Don't invent titles! Use the title given by the resource.
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| * [Making Servers Work: A Practical Guide to Linux System Administration](https://www.digitalocean.com/community/books/sysadmin-ebook-making-servers-work) - Jamon Camisso (PDF, EPUB) | ||
| * [Operating Systems: From 0 to 1](https://github.com/tuhdo/os01/releases/tag/0.0.1) - Tu, Ho Doang (PDF) ( :construction: *in process*) | ||
| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) - Remzi H. Arpaci-Dusseau and Andrea C. Arpaci-Dusseau (PDF) | ||
| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) |
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| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) | |
| * [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) - Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau (PDF) |
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Thanks, and welcome to free-programming-books! |
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“Thank you for the review and merge! Happy to contribute more.” |
Added the free course "Fast.ai - Practical Deep Learning for Coders" to the Machine Learning section.