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This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022.
This book discusses the theory and practice of random number generators that are useful for... Læs mere
This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican... Læs mere
This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using... Læs mere
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.
This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming... Læs mere
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite.
For researchers who use surveys interested in learning how to seize vast possibilities and flexibility of R in survey analysis/visualizations. Psychologists, marketeers, HR... 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 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
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