Artificial Intelligence for Data Science in Theory and Practice (Studies in Computational Intelligence, 1006)

Springer
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9783030922443
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9783030922443
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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.
  • | Author: Mohamed Alloghani, Christopher Thron, Saad Subair
  • | Publisher: Springer
  • | Publication Date: May 07, 2022
  • | Number of Pages: 262 pages
  • | Language: English
  • | Binding: Hardcover
  • | ISBN-10: 3030922448
  • | ISBN-13: 9783030922443
Author:
Mohamed Alloghani, Christopher Thron, Saad Subair
Publisher:
Springer
Publication Date:
May 07, 2022
Number of pages:
262 pages
Language:
English
Binding:
Hardcover
ISBN-10:
3030922448
ISBN-13:
9783030922443