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.
| ISBN: | 9783032066367 |
| Publication date: | 20th May 2026 |
| Author: | Oliver Kramer |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 82 pages |
| Genres: |
Artificial intelligence |
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.
Artificial Intelligence Essentials features in the following genres: Artificial intelligence
Artificial Intelligence Essentials is available in Hardback
Artificial Intelligence Essentials was written by Oliver Kramer and published by Springer an imprint of Springer Nature Switzerland
Artificial Intelligence Essentials has 82 pages
£53.99