Spring 2023 - 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.


Spring 2022 - QBS108: Machine Learning

Spring 2021 - QBS108: Machine Learning

Spring 2020 - QBS108: Applied Machine Learning

Spring 2019 - QBS108: Applied Machine Learning

Spring 2018 - QBS270: Quantitative Biomedical Sciences Seminar

Fall 2017 - QBS108/ENGS108: Applied Machine Learning

Spring 2017 - QBS270: Quantitative Biomedical Sciences Seminar

Spring 2017 - QBS177/Math177: Algorithms for Data Science

Spring 2016 - QBS270: Quantitative Biomedical Sciences Seminar