AI for Leaders License Attribution

Copyright President and Fellows of Harvard College. Some responses may be derived from the following sources; any such output is issued under the same license:

1. Introduction to Statistics (source) (license)

2. Introductory Business Statistics (source) (license)

3. Introductory Business Statistics (source) (license)

4. Introduction to Statistical Thinking (source) (license)

5. Harvard Data Science Review Articles (MIT Press) (source) (license)

   1. Article 1: Artificial Intelligence (source) (license)

   2. Article 2: Causal Inference for Everyone (source) (license)

   3. Article 3: A Review of Data Valuation Approaches and Building and Scoring a Data Valuation Model (source) (license)

   4. Article 4: Deep Policy Learning: Opportunities and Challenges from the Evidence Act (source) (license)

   5. Article 5: Taking Up the Revolutionary Call: Principles to Guide a Purpose-Driven AI Future (source) (license)

   6. Article 6: Designing Graphics Requires Useful Experimental Testing (source) (license)

   7. Article 7: Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice (source) (license)

   8. Article 8: Challenges in Incorporating EDA into Statistical Workflow (source) (license)

   9. Article 9: Causation, Comparison, and Regression (source) (license)

   10. Article 10: Building a More Robust Data Science, Toward a More Robust World (source) (license)

   11. Article 11: Data Science and Engineering With Human in the Loop (source) (license)

   12. Article 12: To Deploy Machine Learning, You Must Manage Operational Change (source) (license)

6. Mostly Harmless Elementary Statistics (1st Ed.) (source) (license-US) (license-international)

7. Mastering Econometrics w/Joshua Angrist (source) (license)

8. Open Intro Statistics (source) (license)