[机器学习应用与趋势研究手册算法,方法与技术]
Handbook.Of.Research.On.Machine.Learning.Applications.and.Trends.Algorithms,.Methods.and.Techniques.(2.Volumes)
Edited by: Emilio Soria Olivas, José David Martín Guerrero, Marcelino Martinez-Sober, Jose Rafael Magdalena-Benedito, and Antonio José Serrano-López, University of Valencia, Spain


Description:
The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of practical applications for solving problems and applying various techniques in automatic data extraction and setting. A defining collection of field advancements, this Handbook of Research fills the gap between theory and practice, providing a strong reference for academicians, researchers, and practitioners.
Key Features:
29 authoritative contributions by over 78 of the world抯 leading expert in machine learning application from 15 countries Comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field More than 1,414 references to existing literature and research on machine learning application A compendium of over 244 key terms with detailed definitions Organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals Cross-referencing of key terms, figures, and information pertinent to machine learning application