About Machine Learning

This course introduces students from a variety of science and engineering backgrounds to the fundamentals of machine learning and prepares them to perform R&D involving machine learning techniques and applications. Students learn to design, implement, and evaluate intelligent systems incorporating models learned from data. On successful completion of the course, you will be able to

1. Formulate a practical data analysis and prediction problem as a machine learning problem.
2. Plan for data acquisition considering the characteristics of the data set required for a particular machine learning problem.
3. Train and test supervised regression and classification models, unsupervised learning and density estimation models, and reinforcement learning models.
4. Integrate a trained machine learning model into an online software system.