Spring 2024 - QBS108: Machine Learning
This course offers a thorough introduction to machine learning methods and techniques, including concepts such as computer vision, natural language processing, and deep learning. The focus of the course is to equip students with the necessary background and practical knowledge of machine learning methodology to apply these techniques to new or existing research or data science problems. Through various project assignments, students will gain hands-on experience in using machine learning techniques to solve real-world complex problems in areas such as the biomedical domain.
Prerequisite: Calculus, Linear Algebra, Basic knowledge of Probability and Statistics, Intermediate proficiency in Python.