Machine Learning in Industry and Science
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Beschreibung
Applied Machine Learning is transforming industries and public services across Europe. This book offers a unique insight into the field, bringing together work from researchers within the Fraunhofer network – one of the leading organizations for applied research and innovation.
Covering cutting-edge approaches to data mining, complex spatial data analysis, and knowledge modeling, the text reflects both theoretical advances and practical implementations. The contributions span a wide range of real-world domains, including healthcare, manufacturing, energy systems, and public administration. A particular focus is also placed on critical cross-cutting issues such as algorithmic transparency and the interpretability of AI systems.
What sets this volume apart is its emphasis on the strong connection between research excellence and application relevance. Drawing from the Fraunhofer ecosystem, it showcases how Machine Learning is shaping next-generation technologies and decision-making processes in both industry and public services.
This open access book is an essential resource for researchers, data scientists, AI practitioners, and policy stakeholders seeking insight into the current state and future direction of applied Machine Learning in Europe.
Applied Machine Learning is transforming industries and public services across Europe. This book offers a unique insight into the field, bringing together work from researchers within the Fraunhofer network – one of the leading organizations for applied research and innovation.
Covering cutting-edge approaches to data mining, complex spatial data analysis, and knowledge modeling, the text reflects both theoretical advances and practical implementations. The contributions span a wide range of real-world domains, including healthcare, manufacturing, energy systems, and public administration. A particular focus is also placed on critical cross-cutting issues such as algorithmic transparency and the interpretability of AI systems.
What sets this volume apart is its emphasis on the strong connection between research excellence and application relevance. Drawing from the Fraunhofer ecosystem, it showcases how Machine Learning is shaping next-generation technologies and decision-making processes in both industry and public services.
This open access book is an essential resource for researchers, data scientists, AI practitioners, and policy stakeholders seeking insight into the current state and future direction of applied Machine Learning in Europe.
Features a wide range of concrete machine learning applications Showcases real-world machine learning applications across diverse scientific and engineering domains Provides exclusive insights into Fraunhofer’s research on machine learning in science and industry This book is open access, which means that you have free and unlimited access
Autor*in
Manja Mai-Ly Pfaff-Kastner
Themen in »Machine Learning in Industry and Science«
machine learning spatial data deep learning knowledge discovery in industrial production transparency of AI Open Access Neural Networks Industrial mathematics Applied science Fraunhofer Spatial data Knowledge modeling Explainable AI Segmentation and classification Data Analysis