描述
This volume presents a compelling collection of research and findings shared during the Computing and Machine Learning conference of 2024. Featuring contributions from prominent experts in the field, it delves into the latest advancements and methodologies driving innovation in computing and machine learning.
Readers will discover a variety of topics addressing both theoretical frameworks and practical applications, showcasing how interdisciplinary approaches are shaping the future of technology. The discussions reflect the dynamic nature of the field, with an emphasis on current challenges and potential solutions.
The collaborative spirit of the authors shines through their collaborative efforts, each bringing a unique perspective that enriches the understanding of complex problems. This compilation serves as an invaluable resource for researchers, practitioners, and enthusiasts who are keen to explore the intersections of computing and machine learning.
Readers will discover a variety of topics addressing both theoretical frameworks and practical applications, showcasing how interdisciplinary approaches are shaping the future of technology. The discussions reflect the dynamic nature of the field, with an emphasis on current challenges and potential solutions.
The collaborative spirit of the authors shines through their collaborative efforts, each bringing a unique perspective that enriches the understanding of complex problems. This compilation serves as an invaluable resource for researchers, practitioners, and enthusiasts who are keen to explore the intersections of computing and machine learning.
书籍详情
格式
平装书
页数
486 页
语言
英语
已发布
Jan 26, 2025
出版商
Springer
ISBN-10
9819778387
ISBN-13
9789819778386