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@@ -135,7 +135,7 @@
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### Cuda
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-* [Intro to Parallel Programming Using CUDA to Harness the Power of GPUs](https://www.udacity.com/course/intro-to-parallel-programming--cs344)
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+* [Intro to Parallel Programming Using CUDA to Harness the Power of GPUs](https://www.udacity.com/course/intro-to-parallel-programming--cs344) (Udacity)
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### Data Science
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* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
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* [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses)
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* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
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-* [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730)
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+* [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730) (Udacity)
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### Git
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* [Object-Oriented programming with Java, part II](https://moocfi.github.io/courses/2013/programming-part-2/)
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* [Princeton Algorithms, Part 1](https://www.coursera.org/course/algs4partI)
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* [Princeton Algorithms, Part 2](https://www.coursera.org/course/algs4partII)
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-* [Problem Solving With Java](https://www.udacity.com/course/intro-to-java-programming--cs046)
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+* [Problem Solving With Java](https://www.udacity.com/course/intro-to-java-programming--cs046) (Udacity)
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* [Spring 5 Core - An Ultimate Guide](https://www.udemy.com/learn-spring-5-core-from-scratch/) - Somnath Musib (Udemy)
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### Theory
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* [Automata Theory](https://lagunita.stanford.edu/courses/course-v1:ComputerScience+Automata+Fall2016/about)
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-* [Udacity: Intro to Theoretical Computer Science](https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313)
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+* [Intro to Theoretical Computer Science](https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313) (Udacity)
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### TypeScript
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