diff --git a/free-courses-en.md b/free-courses-en.md index e44d62ae00a355e76933ae43d699bc6af7e7170a..dc87bbb5483ce7f06a8c7d86c25cbbf8ac229000 100644 --- a/free-courses-en.md +++ b/free-courses-en.md @@ -47,6 +47,7 @@ ### Algorithms & Data Structures * [Berkeley University CS 61B: Data Structures](http://datastructur.es/sp16/) +* [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 * [Stanford University Algorithms: Design and Analysis, Part 1](http://online.stanford.edu/course/algorithms-design-and-analysis-part-1) * [Stanford University Algorithms:Algorithms: Design and Analysis, Part 2](http://online.stanford.edu/course/algorithms-design-and-analysis-part-2) @@ -130,6 +131,7 @@ * [Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io) * [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu) +* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard * [Self-Paced Courses for Deep Learning ](https://developer.nvidia.com/deep-learning-courses) * [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial) * [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730)