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Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis.
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This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading... Læs mere
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In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle.
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This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
Bemærk: Kan ikke leveres før jul.
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
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Bemærk: Kan ikke leveres før jul.
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. deep convolutional neural... Læs mere
Bemærk: Kan ikke leveres før jul.
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. deep convolutional neural... Læs mere
Bemærk: Kan ikke leveres før jul.
However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language.
Bemærk: Kan ikke leveres før jul.
However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language.