Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications: 132 2023rd Edition

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications: 132 2023rd Edition book cover

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications: 132 2023rd Edition

Author(s): Gilberto Rivera (Editor), Laura Cruz-Reyes (Editor), Bernabé Dorronsoro (Editor), Alejandro Rosete (Editor)

  • Publisher: Springer
  • Publication Date: 15 Sept. 2024
  • Edition: 2023rd
  • Language: English
  • Print length: 614 pages
  • ISBN-10: 3031383273
  • ISBN-13: 9783031383274

Book Description

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics.

Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling.

With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields.

Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.


Editorial Reviews

From the Back Cover

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics.

Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling.

With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields.

Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.


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