I started my MS in Computer Science at Georgia Tech in Spring 2019. Since then it has been a very challenging yet rewarding journey. Let me revisit the courses every semester. Database System Design Reinforcement Learning and Decision Making (Eventually dropped) Software Architecture and Design Graduate Introduction to Operating System Information Security Machine Learning for […]

# Category: OMSCS

There are many flavors of games in Game Theory which are interesting from Machine Learning perspectives, especially from multi-agent Reinforcement Learning applications. Here is the summary of multiple game types are if MinMax algorithm works and what type of strategy one needs to employ.

Random Projection is an interesting Dimensionality Reduction technique. You may choose to create a random projection for 1,2,3,..,n dimensional projections. Now how to tell which one is best? So you would need to calculate loss of data due to this reduction in data size. # data has this shape: row, col = 4898, 11 random_projection […]

There could be two types of training algorithms for the weights for a neuron. First is to minimize the error between predicted y_hat and y. Here y_hat = boolean(activation >= threshold). This type of perceptron-based learning works best for linearly separable data and guarantees finite iterations. Second type is Gradient Descent algorithm which minimizes the […]

I applied for Georgia Tech’s OMSCS program in 2018 and started my first semester in January 2019. Since I have been into the program for over a year, I felt sometimes that I should share my admission essays. After this Spring 2020 semester, I will be halfway there to graduate in terms on credits. So […]