Artificial Intelligence Essentials (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
- Hardcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 101.46
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Add to basketItem description from seller
Hardcover. 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. The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller Inventory # 9783032066367
- Title
- Artificial Intelligence Essentials (Hardcover)
- Author
- Oliver Kramer
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3032066360
- ISBN 13
- 9783032066367
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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