The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology.
Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields.
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments.
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology.
Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields.
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology.
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments.
Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields.
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments.
La Inteligencia Artificial (IA) forma parte de la vida cotidiana de la mayoria de las personas desde hace tiempo, aunque no siempre seamos conscientes de ello.
Written from an equitable data perspective, Questioning Technology: Addressing Divisive Data in Research and Practice 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.
Written from an equitable data perspective, Questioning Technology: Addressing Divisive Data in Research and Practice 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.
Complete eight data science projects that lock in important real-world skillsalong with a practical process you can use to learn any new technique quickly and efficiently.
Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source.
Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science.
Este libro es la guía definitiva para dominar Excel y Power BI, dos de las herramientas más poderosas en el mundo del análisis y visualización de datos.
This book is a collection of empirical and theoretical research papers focused on the field of “Theory and Practice in Finance” authored by researchers from a diverse range of academic institutions.
This book is a collection of empirical and theoretical research papers regarding "Current Issues in Accounting" written by researchers from several different universities.
This book is a collection of empirical and theoretical research papers regarding "Current Issues in Accounting" written by researchers from several different universities.
Este libro es una guia completa para cualquier persona que desee sumergirse en la programacion de computadoras, independientemente del area o disciplina del conocimiento.
Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms.
