Adv Bus Analytics: Machine Learning

With massive increases in the amount of data becoming available in almost all areas of business (and on the web), there is an ever-greater need for methods to detect important patterns in data and classify novel data points based on curated data sets. Learning techniques provide the means to perform this analysis automatically, and in doing so to enhance understanding of general processes or to predict future events. In this subject, students will be introduced to the concepts behind such tools as neural networks, support-vector machines and clustering methods, as well as ensemble techniques such as bagging and boosting and random forests. Students will apply and evaluate these tools and techniques in common business scenarios.