# Machine Learning

> Machine learning develops algorithms that improve through experience without being explicitly programmed. It is the engine behind modern AI applications in vision, language, scientific discovery, and autonomous systems.

*Source: [https://selltoscientists.com/fields/machine-learning/](https://selltoscientists.com/fields/machine-learning/)*

**Researcher count:** 110,000
**Average funding:** $620K

## Subfields

- Deep Learning
- Bayesian Methods
- Federated Learning
- AutoML
- Interpretable ML

## Key technologies

- Neural Networks
- Gradient Boosting
- Transformer Architectures
- PyTorch/TensorFlow
- Distributed Training

## Top institutions

- Stanford
- MIT
- University of Toronto
- Carnegie Mellon
- UC Berkeley

---

## Beton network

This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources:

- [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals
- [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties
- [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries
- [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector))
- [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns
- [Beton app](https://inspector.getbeton.ai) — the hosted product