Artificial intelligence for data science in theory and practice / Mohamed Alloghani, Christopher Thron, Saad Subair, editors.
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 relati...
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| Other Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
[2022]
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| Series: | Studies in computational intelligence ;
v. 1006. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. 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, tourism in addition to AI ethics. . |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource : illustrations (some colour). |
| ISBN: | 3030922448 9783030922443 3030922456 9783030922450 |