Content

References

Week1 (8/25/25)

1. Runestone academy textbooks
2. Mathematics for Machine Learning (Download the pdf of the book.)
3. An explicit header code for LaTeX
4. X-CREDIT Coursera mini-course on Math notation for Data Science
5. Math can be hard to understand if one looks at things the wrong way
6. Position/velocity/acceleration exercises
7. Principal component analysis: a review and recent developments by Jolliffe and Cadima
   1. Help understanding PCA using chatGPT
8. Eigenvalues and Eigenvectors

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LINKS BELOW ARE OUTDATED - ignore for now - WILL UPDATE AS NEEDED --

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1. NOTES
   1. Notes about Mathematics, Science and Data Science 2/15/2022 Δ
   2. Notes about proofs 2/15/2022 Δ
2. How to ask good questions in Data Science Δ
3. Good book recommendations for Data Scientists
4. Show Me The Data from NYT Δ
5. NYT paragraph about Simpson's paradox Δ
6. Veritasium video: This will revolutionize education
7. Python help
   1. References to sharpen python skill created by Dr. Mix for GEG 584 Δ
   2. The Ultimate Guide for Column Creation with Pandas DataFrames (see Google drive Midterm folder in 10-5)
   3. A guide to groupby Δ
8. Getting used to mathematical thinking slides Δ
   • Getting used to mathematical thinking exercises Δ
9. MML Ex 2.3 & 2.4 Δ
10. Midterm MML questions examples Δ
11. Datasheets for Datasets Δ