Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Gilberto Rivera

ISBN 10: 3031383249 / ISBN 13: 9783031383243

Edité par Springer Nature Switzerland, Springer International Publishing Sep 2023, 2023

A propos de cet article

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 616 pp. Englisch.

N° de réf. du vendeur 9783031383243

Détails bibliographiques

• Titre: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications
• Éditeur: Springer Nature Switzerland, Springer International Publishing Sep 2023
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 3031383249
• ISBN à 13 chiffres: 9783031383243
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.