Update index.md

Author: danaluz

docs/index.md

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-### [](#header-5) How I got started with AI
+#### [](#header-4) How I got started with AI
 
 I am a member of the [Artificial Intelligence and Robotics Group](http://www.secyt.frba.utn.edu.ar/giar/) in UTN - Buenos Aires, Argentina, and I'm working on a [BCI](Artificial Intelligence and Robotics Group) project.
 
+I am interested in Machine Learning algorithms, and I found several types of implementations across the web, that I tried and coded.
+
+Here are a few links you could try if you already have some foundation:
+
+* [Simple Neural Network in Python](https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.w8syxd4fc).
+
+
+* [Linear Regression](https://www.codeproject.com/Articles/879043/Implementing-Gradient-Descent-to-Solve-a-Linear-Re).
+
+
+* [K-NN and the NBA](https://www.dataquest.io/blog/k-nearest-neighbors-in-python/)
+
+And an even better place to start:
+
+* [Coursera: Machine Learning](https://www.coursera.org/learn/machine-learning/home)
+
+
 #### [](#header-3)[K-NN Algorithm](k-nn-v1).
 
 The K- Nearest Neighbour is one of the simple yet powerful algorithms, and I first encounter it when I was reading about swarm intelligent, and later, about Ant Colony Simulation.