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This open access textbook provides an introduction to the software program NVivo, the most widely used qualitative analysis program.
This book analyzes in detail the technological evolution process of databases in the era of cloud computing and explains how traditional database technology... Læs mere
One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications.
Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some... Læs mere
This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling.
This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods.
This book highlights and explains the details of machine learning models used in geospatial data analysis. It... Læs mere
This practical book explains how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI. Author Wei-Meng Lee helps developers, data engineers, data analysts, and data scientists get started.
Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB.
Explores a plethora of blockchain-based solutions for big data and IoT real-world applications in several sectors,... Læs mere