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Research Methods for Business and Management offers a comprehensive and practical guide to business and management research, combining theoretical foundations with step-by-step, hands-on instruction.
Research Methods for Business and Management offers a comprehensive and practical guide to business and management research, combining theoretical foundations with step-by-step, hands-on instruction.
This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation,... Læs mere
This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation,... Læs mere
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