Machine Learning

This page is a documentation of different projects I have worked on related to ML, from Artificial Intelligence to Neural Networks. I keep projects I worked on/chose to work on either for class or by myself.

I am taken courses regarding the following concepts:

• Linear / Non-linear Regression
• Naive Bayes
• K Nearest Neighbor
• Kmeans
• Perceptrons
• Decision Trees
• Monte Carlo Estimation
• Gradient Descent
• Hopfield Networks
• Convolutional Neural Networks

For my final project of Intro To Computational Neuroscience with Richard Granger, I implemented the CSL model from his paper “Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops.”

I am currently working with Professor Granger on my thesis in Computer Science. We are deriving a novel Neural Network based upon binary logic.