Beginner Lessons

3. Deep Dive Into Clinical Data

13. Machine Learning for Mammography

21. Automating Clinical Work Flows

19. Disease Progression Modeling and Subtyping, Part 2

14. Causal Inference, Part 1

20. Precision Medicine

8. Natural Language Processing (NLP), Part 2

25. Interpretability

23. Fairness

15. Causal Inference, Part 2

2. Overview of Clinical Care

7. Natural Language Processing (NLP), Part 1

12. Machine Learning for Pathology

11. Differential Diagnosis

16. Reinforcement Learning, Part 1

9. Translating Technology Into the Clinic

4. Risk Stratification, Part 1

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

6. Physiological Time-Series

5. Risk Stratification, Part 2

18. Disease Progression Modeling and Subtyping, Part 1

17. Reinforcement Learning, Part 2

Fall 2020 Update from Dean Krishna Rajagopal to the OCW community

Introduction to Ethics in Machine Learning

Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

Exploring Fairness in Machine Learning: Background

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

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

Solar Lighting Example, Exploring Fairness in Machine Learning

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

1. Introduction and the geometric viewpoint on physics.

2. Introduction to tensors.

4. Volumes and volume elements; conservation laws.

6. The principle of equivalence.

7. Principle of equivalence continued; parallel transport.

18. Cosmology I

23. Black holes II

Introduction to Getting up to Speed in Biology

Lecture 1.1: The Molecules of Life — Representing Molecules

Lecture 1.2: The Molecules of Life — Polar and Non-polar Molecules

Lecture 1.3: The Molecules of Life — Types of Bonds

Lecture 1.4: The Molecules of Life — Recognizing Macromolecules

Lecture 4.5: Inheritance and Genetics — Conclusion

Lecture 4.4: Inheritance and Genetics — Pedigrees

Lecture 3.1: Information Transfer in Biology — DNA Rules

Lecture 3.2: Information Transfer in Biology — DNA Replication

Lecture 2.2: The Cell and How it Works — Free Energy and Reaction Kinetics