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Drawing on pioneering evidence and expert insights, this handbook shows how governments can harness... Læs mere
Written for graduate students and researchers in biology without advanced statistical... Læs mere
This book for engineers, researchers, and students working with deep learning AI models explains how to make these models faster and more efficient using clear... Læs mere
Explore the complex world of data and computer communications, where network architecture, protocols, wireless systems, and security measures are demystified. This... Læs mere
Written from an equitable data perspective, Questioning Technology translates the pressing challenges within data collection, data categorization and data commercialisation to enable researchers, SMEs, and practitioners to better question why and how they use data.
This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World... Læs mere
Use this evidence-based guide to understand how to apply data, people analytics and behavioural science to deliver real business value.
This Handbook is essential for researchers, students, and practitioners seeking to understand behaviour in the digital age. Bridging behavioural... Læs mere
This Handbook is essential for researchers, students, and practitioners seeking to understand behaviour in the digital age. Bridging behavioural... Læs mere
Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for students and researchers working with SPSS Statistical Software.