The CUNY Data Science and Applied Topology Reading Group is joint between the Mathematics and Computer Science programmes. We used to meet Fridays 11.45 -- 12.45 in GC 4419. You can contact us at cunygc@appliedtopology.nyc.

Our plan is to primarily read and discuss seminal papers in data science, in applied topology and in topological data analysis. Each seminar one participant takes the responsibility to present a paper and prepare items for discussion. We expect occasionally to be able to invite external speakers.

## Fall 2020 Seminar Plans

We will run a reading group in Machine Learning, reading "Understanding Machine Learning: from Theory to Algorithms" by Shalev-Schwarz and Ben-David. Seminar runs over Zoom, Fridays 12-13. Login details will be distributed on the seminar mailing list.

One good source on background material is Mathematics for Machine Learning.

## Schedule

Current schedule can be found here.

We will be sending out announcements through a mailing list; you can subscribe here.

## Organizers

- Mikael Vejdemo-Johansson, Computer Science Programme, CUNY Graduate Center; Department of Mathematics, CUNY College of Staten Island
- Azita Mayeli, Mathematics Programme, CUNY Graduate Center; Department of Mathematics, CUNY Queensborough Community College
- Vincent Martinez, Department of Mathematics and Statistics, CUNY Hunter College

## Suggested papers

We have compiled a list of papers that might be interesting to present.

# Schedule

### Machine Learning Reading Group: The bias-complexity tradeoff

Chapter 5 (with proofs)