Machine Learning with Real-World Data

Graduate

This course will focus on working with limited/noisy data to build accurate models useable in real-world situations with data mimicking or from a real-world source. Deep and shallow learning approaches will be explored, with proper data analysis and preparation techniques. Time-series data analysis will be performed. Students will learn to merge these predictive models into a simulated business system.