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 […]
Category: OMSCS
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 […]