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MACHINE LEARNING
Class
CS397-CS380
Instructor
Jon Sanchez and Iker Silvano
Languages
C++
About
The idea of this class was to explore some machine learning techniques that are used nowadays in the software engineering industry and to implement some of those. The techniques were Linear Regression, Kmeans, Cmeans, Markov Chain, Markov Decision Process, and Neural Networks. Apart from that, I decided to apply my knowledge of Genetic algorithms and Neural Networks to implement my project.
Self-Driving Cars
As I was interested in how these techniques could be implemented in Real Time Interactive Simulations, I decided to create a project where I had generations of cars that learned using Neural Networks and evolved according to the principle of survival of the fittest and using genetic algorithms properties.
Here is the paper I wrote about it: Self-Driving AI.
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