Students will study different practical issues of data science through this course. They will work on a data-science related project to enhance knowledge and computing skills for deriving actionable insights from data through machine learning. Project topics include classification of text document, commercial fraud detection solutions, movie recommendation system, image recognition, computer vision, identification of biomarkers for cancer, and diagnosis of rare disease, A/B test and AI quality control, in which application of machine learning techniques is vital.
Through this course, students will:
- learn how to use and interact with open source data science/machine learning tools;
- showcase the knowledge and skills acquired in DSA5101 and other data science courses; and
- appreciate the transformation from data to insight and to policy-making.