Multi-objective, Multi-class and Multi-label Data Classification With Class Imbalance
Av Lopamudra Dey, Sanjay Chakraborty, 2024.Del av serien Springer Tracts in Nature-Inspired Computing.
Theory and Practices
This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications.
Språk: Engelsk
Oppdag mer
Multi-objective, Multi-class and Multi-label Data Classification With Class Imbalance
Av Lopamudra Dey, Sanjay Chakraborty, 2024.Del av serien Springer Tracts in Nature-Inspired Computing.
Theory and Practices
This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications.
Oppdag mer
Språk: Engelsk
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
