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Added Deep Learning with PyTorch course in free-courses-en.md (#5742)
* Update 1 book URL in free-programming-books-id.md
Update URL for Pemrograman Kompetitif Dasar
* Add new MongoDB book at free-programming-books-langs.md
Added MongoDB Notes for Professionals
* Added Git for Professionals Tutorial at free-courses-en.md
Git for Professionals Tutorial - Tools & Concepts for Mastering Version Control with Git
* Added Git & GitHub tutorial playlist at free-courses-en.md
* Adding credit to the instructor
* Added Deep Learning with PyTorch course in free-courses-en.md
* Set theme jekyll-theme-cayman
* Revert "Set theme jekyll-theme-cayman"
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* [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io)
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* [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io)
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* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
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* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
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* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
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* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
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* [Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa) - Aakash N. S., freeCodeCamp.org (YouTube)
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* [Deep Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University)
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* [Deep Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University)
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* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
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* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
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* [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare)
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* [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare)
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