The MasterTrack in Machine Learning for Analytics

The MasterTrack in Machine Learning for Analytics offers rigorous training at the master's level in statistics and machine learning. The first two mini-classes focus on statistics for machine learning and help students gain the knowledge, skills, and tools they need to make tight inferences and conduct experiments using models. In the last two mini-classes, students turn to machine learning proper and learn sophisticated techniques to detect patterns and create models to make predictions. The emphasis throughout is on developing a firm understanding of the theory that underpins practice so that they can approach machine learning in a thoughtful, critical way. Students follow a real-world case and make real-world insights using a proprietary dataset throughout the program, and they have opportunities to explore a variety of applications, including natural language processing (NLP) and image recognition.