Artificial Intelligence for Data Science in Theory and Practice
Mohamed Alloghani, Christopher Thron, Saad SubairThis 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.
年:
2022
出版社:
Springer
言語:
english
ページ:
257
ISBN 10:
3030922448
ISBN 13:
9783030922443
シリーズ:
Studies in Computational Intelligence, 1006
ファイル:
PDF, 8.18 MB
IPFS:
,
english, 2022