The previous project, and my Bachelors Thesis, led me to pursue a Master of Science in Computing at the University of Utah where I specialized in Machine Learning algorithms and visualization techniques. While enrolled at the University of Utah, I also became involved in research where I implemented a new form of neural networks which are much more efficient at learning. This dealt with Hierarchical Matrices as being the backend of these matrix multiplications, reducing the computation time from $$\mathcal{O}\left(n^2\right)$$ to $$\mathcal{O}(n)$$. The learning rate also greatly improved, and the official write up can be seen in my blog post on the matter. I graduated in May 2017 with this degree, where as of today I am using what I’ve learned to provide insights into multiple industries.