IND ENG 142
3 Units
Introduction to Machine Learning and Data Analytics
Catalog Course Description
This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. Through these examples, exercises in R, and a comprehensive team project, students will gain experience understanding and applying techniques such as linear regression, logistic regression, classification and regression trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning.
Fall Term
3 hours of Instructor presentation of course materials per week and 5 hours of Outside Work Hours per week and 1 hours of The exchange of opinions or questions on course material per week.