Description
In this volume, a diverse group of researchers and experts delve into the forefront of computing and machine learning, reflecting on recent advancements and emerging trends in the field. The proceedings showcase a collection of innovative studies that explore the intersections of various technologies and methodologies, enhancing understanding and pushing the boundaries of knowledge.
Each chapter reveals a unique perspective, offering insights into practical applications as well as theoretical frameworks. The authors, recognized for their contributions in technology and data science, come together to present findings that not only address current challenges but also inspire future research.
As part of the CML conference series, this compilation serves as a valuable resource for academics, practitioners, and students alike, fostering collaboration and knowledge exchange across disciplines. The rigor and relevance of the research included promise to ignite further inquiry into the evolving landscape of machine learning and its myriad possibilities.
Each chapter reveals a unique perspective, offering insights into practical applications as well as theoretical frameworks. The authors, recognized for their contributions in technology and data science, come together to present findings that not only address current challenges but also inspire future research.
As part of the CML conference series, this compilation serves as a valuable resource for academics, practitioners, and students alike, fostering collaboration and knowledge exchange across disciplines. The rigor and relevance of the research included promise to ignite further inquiry into the evolving landscape of machine learning and its myriad possibilities.
Détails du livre
Format
Broché
Pages
506 pages
Langue
Anglais
Publié
Jan 28, 2025
Éditeur
Springer
ISBN-10
9819775485
ISBN-13
9789819775484