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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 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.
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.
This book presents research in artificial techniques using intelligence... Læs mere
Over the past decade, many researchers have proposed applications of fuzzy transform techniques for various image processing topics, such as image coding/decoding, image reduction, image segmentation, image watermarking and image fusion;
The collection and analysis of data play an important role in many ?elds of science and technology, such as computational biology, quantitative ?nance, information engineering, machine learning, neuroscience, medicine, and the social sciences.
Further, the book shows how to design and perform a forensic survey, and offers guidance on selecting the best method for the problem at hand, and on selecting the best type of data acquisition and processing.