Alexander Jung · Springer, 2022
ISBN: 978-981-16-8192-9 (Print), 978-981-16-8193-6 (eBook)
Machine Learning: The Basics offers a compact introduction to the fundamental concepts of machine learning: it explains every ML method as a combination of three components (data, model, and loss) and develops regularization, validation, and explainability from this single design principle.
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Translations
- 🇩🇪 Maschinelles Lernen: Die Grundlagen, Springer, 2024. ISBN 978-981-99-7971-4 (Print), 978-981-99-7972-1 (eBook)
- 🇬🇷 Μηχανική Μάθηση: Τα Βασικά, Εκδόσεις Φούντας (Fountas Books), Athens, 2024. ISBN 978-960-330-837-9
Related
- 📚 Dictionary of Applied Machine Learning: the vocabulary of the book, entry by entry
- 📕 Federated Learning: From Theory to Practice: the follow-up textbook
Cite
@book{Jung2022MLBasics,
author = {Jung, Alexander},
title = {Machine Learning: The Basics},
publisher = {Springer},
address = {Singapore},
year = {2022},
isbn = {978-981-16-8193-6}
}