Artificial Intelligence for Data Science in Theory and Practice (1st ed. 2022) (Studies in Computational Intelligence #1006)
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030922450
- Related ISBNs:
- 9783030922443
- Publisher:
- Springer International Publishing
- Date of Addition:
- 04/22/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Mohamed Alloghani
- Edited by:
- Christopher Thron
- Edited by:
- Saad Subair
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- by Mohamed Alloghani
- by Christopher Thron
- by Saad Subair
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics
- in Communication