Merge branch 'master' of github.com:afshinea/stanford-cs-229-machine-…

…learning

README.md

@@ -6,20 +6,19 @@ This repository aims at summing up in the same place all the important notions t
 - All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
 
 ## Content
-The material presented in this repo has the following characteristics.
+#### VIP Cheatsheets
+<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-supervised-learning.png?" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-unsupervised-learning.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-deep-learning.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-machine-learning-tricks.png" alt="Illustration" width="220px"/></a>
+&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; Supervised Learning &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unsupervised Learning &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Deep Learning &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Tips and tricks
 
-| Category | Topic | Preview |
-|:--:|:---:|:---:|
-| VIP Cheatsheet |  Supervised learning  | <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-supervised-learning.png?" alt="Illustration" width="400px"/></a>  |
-| VIP Cheatsheet|  Unsupervised learning   | <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-unsupervised-learning.png?" alt="Illustration" width="400px"/></a>  |
-| VIP Cheatsheet|  Deep learning   | <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-deep-learning.png?" alt="Illustration" width="400px"/></a>  |
-| VIP Cheatsheet|  Tips and tricks   |  <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-machine-learning-tricks.png?" alt="Illustration" width="400px"/></a> |
-| VIP Refresher| Probabilities and statistics   |  <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-probabilities-and-statistics.png?" alt="Illustration" width="400px"/></a> |
-| VIP Refresher|   Linear algebra and calculus   | <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-linear-algebra-and-calculus.png?" alt="Illustration" width="400px"/></a>  |
-| Super VIP Cheatsheet|   Everything related to machine learning  |  <a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/images/super-vip-cheatsheet.png?" alt="Illustration" width="400px"/></a> |
+#### VIP Refreshers
+<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-probabilities-and-statistics.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-linear-algebra-and-calculus.png#1" alt="Illustration" width="220px"/></a> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; Probabilities and Statistics &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Algebra and Calculus
+
+
+#### Super VIP Cheatsheet
+<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/images/super-vip-cheatsheet.png" alt="Illustration" width="400px"/></a> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; All the above gathered in one place
 
 ## Website
 This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229.html), so that you can enjoy reading it from any device.
 
 ## Authors
-Afshine Amidi and Shervine Amidi.
+Afshine Amidi (Ecole Centrale Paris, MIT) and Shervine Amidi (Ecole Centrale Paris, Stanford University)