Accelerating Discoveries in Data Science and Artificial Intelligence I

Frank M. Lin

ISBN 10: 3031511662 / ISBN 13: 9783031511660

Verlag: Springer Nature Switzerland, Springer Nature Switzerland Mai 2024, 2024

Beschreibung

Neuware -The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science. The book introduces key topics and algorithms and explains how these contribute to healthcare, manufacturing, law, finance, retail, real estate, accounting, digital marketing, and various other fields. The book is primarily meant for academics, researchers, and engineers who want to employ data science techniques and AI applications to address real-world issues. Besides that, businesses and technology creators will also find it appealing to use in industry.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 900 pp. Englisch.

Bestandsnummer des Verkäufers 9783031511660

Bibliografische Details

• Titel: Accelerating Discoveries in Data Science and Artificial Intelligence I
• Verlag: Springer Nature Switzerland, Springer Nature Switzerland Mai 2024
• Veröffentlichungsdatum: 2024
• Sprache: Englisch
• ISBN-10: 3031511662
• ISBN-13: 9783031511660
• Bindung: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science. The book introduces key topics and algorithms and explains how these contribute to healthcare, manufacturing, law, finance, retail, real estate, accounting, digital marketing, and various other fields. The book is primarily meant for academics, researchers, and engineers who want to employ data science techniques and AI applications to address real-world issues. Besides that, businesses and technology creators will also find it appealing to use in industry.