This document provides an overview of the CSI 5388: Topics in Machine Learning course taught by Dr. Nathalie Japkowicz. The course introduces advanced machine learning topics through student presentations of research papers and a final project. Key aspects include classifier evaluation, unsupervised learning, and feature selection. The format involves weekly topics presented by the instructor and students. Requirements include paper critiques, a presentation, and a project with a proposal, report, and presentation.