Alloghani Mohamed. Artificial Intelligence for Data Science in Theory and Practice

Springer, Cham, 2022. — 246 p. — ISBN: 978-3-030-92245-0.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 in AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning, and data sciences.Presents approaches to artificial intelligence taken by various sectors;
Includes development-related applications in AI from around the world;
Discusses AI in government, healthcare, education, and tourism in addition to AI ethics.True PDF