Our machine learning team will train models for our algorithms on Northwestern’s research computing system, Quest. These machine learning algorithms will process social media content such as tweets, posts, and comments of people who generally have stakes in the stock market. This is then used to train an AI model so that it can forecast crypto prices in different scenarios. Projects include sentiment analysis, model generation, prediction, and all layers of abstraction within those.
Machine Learning is mainly intended for those interested in combining statistical reasoning with software to develop and train models to obtain that sweet sweet glance into the future. :D