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This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Published by: Springer
Publication Date: 2022-04-06
Format: Hardcover
ISBN-13: 9783030922443
DOI: 10.1007/978-3-030-92245-0
Dimensions: 235cm x155cm
Pages: 246