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nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a practical introduction to artificial intelligence for engineers, scientists, students, and decision-makers who want to solve real-world problems rather than simply learn algorithms. With a focus on problem-solving, it first addresses industrial and societal challenges before presenting the AI techniques needed to tackle them effectively, thereby illustrating their practical application. Covering applications in the manufacturing, healthcare, finance, logistics, energy, transportation, education, and environmental sectors, the book demonstrates how AI transforms data into informed decisions. Organized into eight parts, it covers the AI workflow, data engineering, machine learning, deep learning, domain-specific applications, generative AI, large language models, as well as essential topics such as deployment, reliability, ethics, and future trends. Accessible to readers with no prior knowledge of AI, the book minimizes mathematical complexity while explaining key concepts through practical examples.
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