Introduction I was fascinated by Zipf's Law when I came across it on a VSauce video. It is an empirical law that states that the frequency of occurrence of a word in a large text corpus is inversely proportional to its rank in its frequency table. The frequency distribution will resemble a Pareto distribution … Continue reading Does Zipf’s Law Apply to Alzheimer’s Patients?
As part of my Machine Learning course, we have to work on a group project. We decided to pursue a reasonably unchartered territory in Reinforcement Learning. Even though none of us are experts in this field, we want to learn our way through the next three months, and hopefully, you get some insights from it … Continue reading Autonomous Transfer Learning in Reinforcement Learning: A Proposal