mathematics-for-ai
How Math Powers AI in Everyday Finance -- A 45-minute talk on patterns, predictions, and how data becomes decisions
Information
| Property | Value |
|---|---|
| Language | HTML |
| Stars | 0 |
| Forks | 0 |
| Watchers | 0 |
| Open Issues | 0 |
| License | No License |
| Created | 2026-02-18 |
| Last Updated | 2026-03-31 |
| Last Push | 2026-03-31 |
| Contributors | 1 |
| Default Branch | main |
| Visibility | private |
Datasets
This repository includes 2 dataset(s):
| Dataset | Format | Size |
|---|---|---|
| slide-fixes.json | .json | 12.6 KB |
| charts.json | .json | 14.49 KB |
Reproducibility
This repository includes reproducibility tools:
-
Python requirements.txt
-
Makefile for automation
Status
- Issues: Enabled
- Wiki: Enabled
- Pages: Enabled
README
How Math Powers AI in Everyday Finance
A fun, accessible look at how mathematics and artificial intelligence help banks, apps, and digital services make decisions -- from detecting fraud to recommending financial products.
About
This is the companion website for a 45-minute talk aimed at high school students (ages 16-18) at a university conference. It covers:
- Fraud Detection -- How probability and pattern recognition catch suspicious transactions
- Credit Scoring -- Why your financial "grade" is a weighted average
- Recommendation Engines -- The same math behind TikTok and Spotify powers banking apps
- AI Ethics -- Who decides what data the AI should use?
Featuring stories from the history of mathematics (Gauss, Bayes, Nightingale, Lovelace, Wald, and more), interactive exercises, and real formulas rendered beautifully.
Tech Stack
- Pure HTML/CSS/JavaScript (no frameworks, no build tools)
- KaTeX for mathematical formula rendering
- Hosted on GitHub Pages
Organization
Part of Digital-AI-Finance -- research and education at the intersection of digital finance and artificial intelligence.