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The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep learning makes almost all existing tools vacuous.
The rich case study analysis in the area of adoption of AI in healthcare helps generate insights for the academicians and researchers of this field in terms of the parallels drawn between adoptions of AI in healthcare industry 4.0 across the world.
This book compiles artificial intelligence (AI) applications in new communication technologies such... Læs mere
Various socio-demographic, medical, technological, and managerial trends determine the emergence and... Læs mere
Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research... Læs mere
The book features the first volume of the proceedings of the 10th... Læs mere
This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming... Læs mere
This book brings together selected papers from the Fourth International Conference on Research in... Læs mere
This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a... Læs mere
This third edition explores both the leading software tools, methodology of spatial data analysis and the suite of R, for the analysis of vector... Læs mere
The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems.