Machine learning has given us self-driving cars, practical speech and face recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that we probably use it dozens of times a day without even knowing it. Many researchers also think it is the best way to make progress towards human-level artificial intelligence. In this day and age, it is therefore critical that we expose BUSM students and trainees to this exciting area and educate them in this field. An introductory course such as this one is positioned to train the next generation of biomedical engineers and scientists to face data-driven challenges in the coming decades. The main feature of this course is that students will learn by doing! We will bring machine learning to life by showing fascinating use cases in biomedical sciences and tackling interesting real-world problems like disease risk assessment and predictive modeling. When students complete this introductory course, they will be in a position to analyze several types of biomedical datasets using machine learning techniques. 4 cred. Fall