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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.
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. deep convolutional neural... Læs mere
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. deep convolutional neural... Læs mere
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.
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.
This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains.