This course offers an introductory view to various tools of statistical learning. The main topics of the course are supervised machine learning methods such as shrinkage methods, tree based methods, and neural networks. At the end, we will discuss the link between machine learning methods and conventional econometric analysis. A PC-lab class is an essential part of the module.
