Fundamentals of Artificial Intelligence and Machine Learning

Book Chapter (2026)
Author(s)

Jhon Quiñones (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Algorithmics
DOI related publication
https://doi.org/10.1007/978-3-032-08309-8_8 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Algorithmics
Volume number
1
Pages (from-to)
81-106
Publisher
Springer Nature
ISBN (print)
9783032083081
ISBN (electronic)
9783032083098
Page Views
45
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Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have become an essential tool across numerous fields, enabling the development of systems capable of autonomous learning and decision-making. This chapter introduces key concepts and terminology related to AI and ML, explores the main machine learning paradigms, and outlines common categories of machine learning techniques. By providing a comprehensive overview, the reader is able to gain a solid foundation to understand and apply AI and ML in renewable energy applications.

Files

978-3-032-08309-8_8.pdf
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- Embargo expired in 01-10-2026
– Personal use only – Dutch Copyright Act (Article 25fa)