When I was in the process of earning my Master’s degree, I took a machine learning course. In this course, we each had to come up with a class project; I chose to create a neural network. The neural network that I built tries to guess the university that a student will choose to transfer to based on data about that student. The neural network learns by looking at a subset of attributes about a student and their choices. After the neural network has guessed the choice of a student, it uses the training data to get the correct answer and update each of the nodes that lead it to that choice, right or wrong, using back-propagation.