# Lecture 14 

This lecture surveys machine learning vectorization methods for persistence diagrams. 

- **Reading:** DW Chapter 13
- **Slides:**
  - [CompTop-Lec14-MLAndPers.pdf](CompTop-Lec14-MLAndPers.pdf)
- **Annotated slides (Fall 2025):**
  - [CompTop-Lec14-MLAndPers.pdf - Annotated](../Annotated-Fall2025/CompTop-Lec14-MLAndPers.pdf) 
<!-- - **Jupyter Notebook:**
  - [Lec13-Distances.ipynb](Lec13-Distances.ipynb) -->

<!-- Note to self: This lecture went about 20 minutes short, more content could be added. Maybe more interactivity, more examples, more code? Also needed definition of Hasudorff distance since many weren't familiar. Could also use some more explanation of MDS.  -->