书籍详情
格式
Kindle
页数
416
语言
英语
已发布
Aug 22, 2019
出版商
Springer
描述
This collection showcases the latest advancements in the fascinating realm of machine learning and knowledge extraction, highlighting insights gleaned from the third international cross-domain conference. It brings together a spectrum of perspectives from renowned experts in the field, emphasizing interdisciplinary approaches that tackle pressing challenges and harness data-driven solutions.
Readers will discover a rich tapestry of research findings, innovative methodologies, and practical applications aimed at enhancing the understanding and deployment of machine learning techniques. The contributions within blend theoretical frameworks with real-world implications, all while fostering collaboration across different domains, making it a vital resource for researchers and practitioners alike.
Readers will discover a rich tapestry of research findings, innovative methodologies, and practical applications aimed at enhancing the understanding and deployment of machine learning techniques. The contributions within blend theoretical frameworks with real-world implications, all while fostering collaboration across different domains, making it a vital resource for researchers and practitioners alike.
类型
商业与经济