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Beschreibung
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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 10. Mai 2026 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 311 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783032066367 |
| Seiten | 82 |
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