# Section 11: PCA

*Jupyter Notebook Artur Rego Costa (2021), Danylo Lavrentovich (2020),
adapted from Dan Greenfield, Verena Volf, and James Xue from past years*

This Friday in section we will try and work on our general understanding of PCA, as well as give practical pointers for interpreting its output.

The plan: 1. hear the story of the one-dimensional scientist; 2. learn about the generative model of PCA with the goal of connecting it back to previous weeks' content; 3. go through a Jupyter notebook [download][view]. where we use PCA to analyze handwritten digits, with surprising similarities to this week's PSet!