Machine Learning and Data Mining Annual Volume 2023: 21 (Artificial Intelligence)

Aceves-Fernandez, Marco Antonio (Editor)

ISBN 10: 0850145139 / ISBN 13: 9780850145137

Published by IntechOpen, 2023

About this Item

150 pages. 7.00x0.55x10.00 inches. In Stock.

Seller Inventory # zk0850145139

Bibliographic Details

• Title: Machine Learning and Data Mining Annual Volume 2023: 21 (Artificial Intelligence)
• Publisher: IntechOpen
• Publication Date: 2023
• Language: English
• ISBN 10: 0850145139
• ISBN 13: 9780850145137
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.58 kilograms

About this title

Synopsis

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 disciplines.