QTM7571 Introduction to Machine Learning Methods for Business
(Formerly Business Intelligence, Analytics & Visualization)
3 Credits
This course introduces machine learning methods for business intelligence. Given the ease of data collection and storage, extracting meaningful information from data has become an essential trait for competitiveness, for companies large and small. In this course, you will learn a variety of supervised and unsupervised machine learning methods that companies use to turn data into insights, such as linear regression, k-nearest neighbors, logistic regression, classification and regression trees, etc. You will get hands-on experience in data pre-processing, generating business predictions, and model performance evaluation. Your learnings will be in practical contexts with in-class exercises and projects.
The various methods covered in this course will be implemented using a programming language. No prior knowledge in programming is required.
Prerequisites: QTM 7200 OR QTM7800