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This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning.
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This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity... Læs mere
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This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics,... Læs mere
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This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest... Læs mere
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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas.
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This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference "ICT Unbounded, Social Impact of Bright ICT Adoption" on Transfer and Diffusion of IT, TDIT 2019, held in Accra, Ghana, in June 2019.
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This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so.
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This volume presents a selection of research papers on various topics at the interface of statistics and... Læs mere
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Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI.
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