Index - "CS365: Foundations of Data Science (Spring '22)"

Lecture 1

• Lecture 1, Slides
• Notebooks
  1. Ansecombe's quartet
  2. Mosaic plots for Titanic
• Readings
  • How to display data badly, by Howard Wainer
  • Histogram wikipedia article

Lecture 2

• Lecture 2, Slides
• Notebooks
  1. Hats off
• Readings
  • Probability4Datascience, Chapters 2,3,4

Lecture 3

• Lecture 3, slides
• Readings
  • Probability4Datascience,6.2.1, 6.2.4, 6.2.5, 6.3.2, 6.3.3, 6.3.6, 6.3.7, 6.4.2

Lecture 4

• Lecture 4, slides
• Notebooks
  1. π estimation
• Readings
  • Probability4Datascience, 6.1, 6.2.6, 6.2.7, 6.2.8

Lecture 5

• Lecture 5, slides

Lecture 6

• Lecture 6, slides
• Notebooks
  • Denoising images
• Readings
  • Exact maximum a posteriori estimation for binary images

Lecture 7

• Lecture 7, slides
• Readings
  • Probability4Datascience, 6.1, 6.2.6, 6.2.7, 6.2.8
  • Goeman's notes on Chernoff bounds