📘 Aalto Dictionary of Machine Learning (ADictML)

A multilingual, open-access glossary for mastering machine learning and AI terms.
Developed by the Aalto Machine Learning Group for students, researchers, and educators at Aalto University.

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📘 Dictionary at a Glance

• Total terms: 492
• Machine Learning Concepts: 286
• Mathematical Tools: 177
• Reinforcement Learning: 13
• Machine Learning Regulation: 10
• Machine Learning Systems: 6
• Last updated: 2026-01-08

📥 Download

• 📘 English PDF (latest release)
• 🌐 Translations
  (Spanish, German, French, Greek, Finnish)

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📈 Interactive Term Network

Explore relationships between terms:
👉 View Glossary Network (HTML)

• Terms are color-coded by semantic clusters
• Hover for definitions, zoom and pan to explore

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🧩 How to Contribute

We warmly welcome contributions from students, researchers, and educators worldwide!
Contributions are handled via GitHub using a standard fork → edit → pull request workflow:

1. Fork the repository to your own GitHub account.
2. Create or edit entries, translations, or figures in your fork (ideally on a dedicated branch).
3. Commit your changes with a clear, descriptive message.
4. Open a pull request (PR) against the main repository, briefly explaining what you added or improved.

Your PR will be reviewed, and we may suggest minor revisions before merging.
This process ensures quality, transparency, and proper attribution for all contributors.

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🧑‍🤝‍🧑 Authors & Contributors

Editor-in-Chief:
Alexander Jung — Associate Professor, Aalto University
ORCID: 0000-0001-7538-0990

Contributors:

• Konstantina Olioumtsevits — Aalto University
• Ekkehard Schnoor — Aalto University
• Tommi Flores Ryynänen — Aalto University
• Juliette Gronier — ENS Lyon
• Salvatore Rastelli — Aalto University

Full contributor list: AUTHORS.md

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💰 Funding and Acknowledgements

The Aalto Dictionary of Machine Learning (ADictML) has been partially supported by:

• XAI-based software-defined energy networks via packetized management for fossil fuel-free next-generation of industrial cyber-physical systems (X-SDEN) Research Council of Finland, Grant No. 349966
• Mathematical Theory of Trustworthy Federated Learning (MATHFUL)
  Research Council of Finland, Grant No. 363624
• TRUST-FELT – Trustworthy Federated Learning Technologies
  Jane and Aatos Erkko Foundation, Finland
• FLAIG – AI Governance in Banking and Insurance
  Business Finland

These projects have enabled the open development of teaching materials, LaTeX figures,
and the public ADictML repository.

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📌 Citation

If you use or refer to ADictML, please cite as:

Jung, A., Olioumtsevits, K., Schnoor, E., Flores Ryynänen, T., Gronier, J., & Rastelli, S. (2025).
Aalto Dictionary of Machine Learning (ADictML).
Aalto University. DOI: 10.5281/zenodo.17273736

A formal companion edition will appear in the Springer Dictionary of Applied Machine Learning (MRW).

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🧾 License

This work is licensed under a Creative Commons Attribution–ShareAlike 4.0 International License.
See LICENSE for details.

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🧭 Repository Links

• GitHub: AaltoDictionaryofML.github.io
• Zenodo DOI: 10.5281/zenodo.17273736
• Springer MRW: Dictionary of Applied Machine Learning (forthcoming)

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