Welcome to the official repository for The Aalto Dictionary of Machine Learning! This repository contains the source files used to compile the dictionary, offering clear definitions, comprehensive explanations, and mathematical formulations of key machine learning concepts.
The Aalto Dictionary of Machine Learning serves as an essential reference guide tailored for students, researchers, and practitioners. It provides concise, rigorous definitions and illustrative examples, facilitating deeper understanding and practical application of fundamental machine learning concepts.
We actively encourage educators and researchers to reuse and adapt the contents of this dictionary for educational materials, lecture notes, presentations, or academic publications. The modular design of the content simplifies extraction and adaptation.
Translations help broaden the accessibility of machine learning knowledge globally. If youβre interested in contributing:
es
for Spanish) in the translations
folder.When using content from this dictionary, please cite as:
A. Jung and K. Olioumtsevits (2025). The Aalto Dictionary of Machine Learning. [Online]. Available: https://aaltodictionaryofml.github.io/
For LaTeX citation:
@book{jung2025dictionary,
author = {Alexander Jung and Konstantina Olioumtsevits},
title = {The Aalto Dictionary of Machine Learning},
year = {2025},
url = {https://aaltodictionaryofml.github.io/}
}
Your contributions are greatly appreciated! If you spot errors, have suggestions for new terms, or wish to begin a translation, please:
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). You may freely use, adapt, and distribute content with proper attribution, provided derivative works share the same license.
This project is supported by:
We gratefully acknowledge their contributions in making this dictionary available.
π’ If you find this dictionary valuable, please share it with colleagues and students to enhance learning and research.
π Happy teaching and learning!