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Artificial Intelligence Essentials|Oliver Kramer

Artificial Intelligence Essentials

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Overview

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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Details

  • ISBN-13: 9783032066367
  • ISBN-10: 3032066360
  • Publisher: Springer
  • Publish Date: June 2026
  • Page Count: 88

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