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@@ -47,6 +47,7 @@
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### Algorithms & Data Structures
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### Algorithms & Data Structures
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* [Berkeley University CS 61B: Data Structures](http://datastructur.es/sp16/)
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* [Berkeley University CS 61B: Data Structures](http://datastructur.es/sp16/)
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+* [Introduction to Algorithms (SMA 5503)](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005) - Charles Leiserson
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* [Stanford University Algorithms: Design and Analysis, Part 1](http://online.stanford.edu/course/algorithms-design-and-analysis-part-1)
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* [Stanford University Algorithms: Design and Analysis, Part 1](http://online.stanford.edu/course/algorithms-design-and-analysis-part-1)
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* [Stanford University Algorithms:Algorithms: Design and Analysis, Part 2](http://online.stanford.edu/course/algorithms-design-and-analysis-part-2)
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* [Stanford University Algorithms:Algorithms: Design and Analysis, Part 2](http://online.stanford.edu/course/algorithms-design-and-analysis-part-2)
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@@ -130,6 +131,7 @@
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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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+* [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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* [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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* [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)
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