Artificial Intelligence for Data Science in Theory and Practice (1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 1006
Release date:	April 2023
First published:	2022
Editors:	Mohamed Alloghani • Christopher Thron • Saad Subair
Dimensions:	235 x 155mm (L x W)
Pages:	246
Edition:	1st ed. 2022
ISBN-13:	978-3-03-092247-4
Categories:	Books
LSN:	3-03-092247-2
Barcode:	9783030922474

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