Verwandte Artikel zu Artificial Intelligence Essentials

Artificial Intelligence Essentials - Hardcover

Kramer, Oliver

 
9783032066367: Artificial Intelligence Essentials
Hardcover
ISBN 10: 3032066360 ISBN 13: 9783032066367
Verlag: Springer, 2026

Inhaltsangabe

The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama. Each chapter includes code examples, exercises, and links to interactive notebooks. The focus lies on conveying applicable knowledge for real-world use. The book is intended for students and practitioners in computer science or related fields and can be used for teaching, self-study, or reference in applied contexts.

 

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Über die Autorin bzw. den Autor

Oliver Kramer is Professor of Computational Intelligence at the University of Oldenburg, Germany. His research focuses on evolutionary computation, machine learning, and large language model–based cognitive architectures, with applications in optimization, bioinformatics, and artificial general intelligence. He has authored numerous books and articles and has presented his work at leading conferences such as GECCO, CEC, and ESANN. His interdisciplinary projects explore connections between AI, biology, and cognitive science.

Von der hinteren Coverseite

The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama. Each chapter includes code examples, exercises, and links to interactive notebooks. The focus lies on conveying applicable knowledge for real-world use. The book is intended for students and practitioners in computer science or related fields and can be used for teaching, self-study, or reference in applied contexts.

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Verlag
Springer
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
3032066360
ISBN 13 
9783032066367
Einband
Gebundene Ausgabe
Anzahl der Seiten
91
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