08-12-2026, 02:58 PM
Unlocking Artificial Intelligence
BY Christopher Mutschler
Summary
Unlocking Artificial Intelligence: From Theory to Applications is an open-access 2024 Springer book that provides a broad overview of modern artificial intelligence and machine learning, connecting theoretical methods with practical applications.
It covers topics such as automated machine learning, sequence-based and deep learning, reinforcement learning, learning with limited data, uncertainty and trustworthy AI, process-aware learning, optimization, and semantic understanding, before demonstrating their use in autonomous systems, medical imaging, wireless positioning, energy networks, logistics, transportation, industrial monitoring, and IoT.
Overall, the book emphasizes how recent AI research can be translated into reliable, practical systems and highlights both the opportunities and challenges of deploying AI in real-world environments.
BOOK [FREE AS A PDF]
BY Christopher Mutschler
Summary
Unlocking Artificial Intelligence: From Theory to Applications is an open-access 2024 Springer book that provides a broad overview of modern artificial intelligence and machine learning, connecting theoretical methods with practical applications.
It covers topics such as automated machine learning, sequence-based and deep learning, reinforcement learning, learning with limited data, uncertainty and trustworthy AI, process-aware learning, optimization, and semantic understanding, before demonstrating their use in autonomous systems, medical imaging, wireless positioning, energy networks, logistics, transportation, industrial monitoring, and IoT.
Overall, the book emphasizes how recent AI research can be translated into reliable, practical systems and highlights both the opportunities and challenges of deploying AI in real-world environments.
BOOK [FREE AS A PDF]
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