
MIT OpenCourseWare
A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


18. Disease Progression Modeling and Subtyping, Part 1

5. Risk Stratification, Part 2

6. Physiological Time-Series

22. Regulation of Machine Learning / Artificial Intelligence in the US

4. Risk Stratification, Part 1

9. Translating Technology Into the Clinic

16. Reinforcement Learning, Part 1

11. Differential Diagnosis

12. Machine Learning for Pathology

10. Application of Machine Learning to Cardiac Imaging

7. Natural Language Processing (NLP), Part 1

2. Overview of Clinical Care

Fall 2020 Update from Dean Krishna Rajagopal to the OCW community

Pulmonary Health Case Study: Bias Exploration, Exploring Fairness in Machine Learning

Solar Lighting Example, Exploring Fairness in Machine Learning

Fairness Criteria, Exploring Fairness in Machine Learning

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset

Exploring Fairness in Machine Learning: Background
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