Machine Learning and Data Mining Annual Volume 2023

Mitwirkende(r):

Aceves-Fernandez, Marco Antonio [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Nicht definiert Reihen: Artificial Intelligence ; 21Verlag: [Erscheinungsort nicht ermittelbar] : IntechOpen, 2023Beschreibung: 1 Online-Ressource (150 p.)ISBN:

9780850145144
9780850145137
9780850145151

Schlagwörter:

Machine learning

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: The interest within the academic community regarding AI has experienced exponential growth in recent years. Several key factors have contributed to this surge in interest. Firstly, the rapid advancements in AI technologies have showcased their potential to revolutionize various fields, such as healthcare, finance, and transportation, sparking curiosity and enthusiasm among researchers and scholars. Secondly, the availability of vast amounts of data and computing power has enabled academics to delve deeper into AI research, exploring complex algorithms and models to tackle real-world problems. Additionally, the interdisciplinary nature of AI has encouraged collaboration among experts from diverse fields like computer science, neuroscience, psychology, and ethics, fostering a rich exchange of ideas and approaches. With contributions from a diverse group of authors, this book offers a multifaceted perspective on machine learning and data mining. Whether you’re an experienced researcher or a newcomer, this collection is an essential resource for staying at the forefront of these dynamic and influential disciplinesPPN: PPN: 1885791771Package identifier: Produktsigel: ZDB-94-OAB

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Namensnennung 3.0 Unported CC BY 3.0 cc:

https://creativecommons.org/licenses/by/3.0/

English