Beginner Lessons

4. Atomic Spectra (Intro to Solid-State Chemistry)

12. Molecular Orbitals (Intro to Solid-State Chemistry)

23. Point and Line Defects I (Intro to Solid-State Chemistry)

29. Acids and Bases I (Intro to Solid-State Chemistry)

7. Aufbau Principle and Atomic Orbitals (Intro to Solid-State Chemistry)

34. Introduction to Organic Chemistry (Intro to Solid-State Chemistry)

35. Diffusion I (Intro to Solid-State Chemistry)

5. Shell Models and Quantum Numbers (Intro to Solid-State Chemistry)

30. Acids and Bases II (Intro to Solid-State Chemistry)

Making Solid State Chemistry Matter with Prof. Jeffrey Grossman (S2:E3)

Searching for the Oldest Stars with Prof. Anna Frebel (S2:E2)

Paying it Forward with FinTech with Prof. Gary Gensler (S2:E1)

Class 1: Intro and Key Technological Trends Affecting Financial Services

Class 3: Artificial Intelligence in Finance

Class 2: Artificial Intelligence, Machine Learning, and Deep Learning

Class 10: Insurance

1. What Makes Healthcare Unique?

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