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Data Science in Societal Applications: Concepts and Implications
The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls…
- Edition
- 1
- ISBN/ISSN
- 978-981-19-5154-1
- Collation
- xi, 193p.: Ill.
- Series Title
- Studies in Big Data
- Call Number
- 005.74 Dat
Machine Learning: Theoretical Foundations and Practical Applications
This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information re…
- Edition
- 1
- ISBN/ISSN
- 978-981-33-6518-6
- Collation
- xi, 172p.:Ill
- Series Title
- Studies in Big Data
- Call Number
- 006.31 Mac
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