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Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and... Læs mere
The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills to a broad audience. The necessary background in computer science, mathematics, and statistics is provided in an approachable manner.
This concise book for scientists and students interested in bioinformatics and data... Læs mere
Navigate the practicalities of building and nurturing a data culture that is right for your organization with this hands-on guide.
Crime research has grown substantially over the past decade, with a rise in evidence-informed approaches to criminal justice. The fuel that has driven this growth is data and one... Læs mere
This book is a compelling guide that empowers readers to navigate the complexities of data projects, fostering a more data-informed culture within their... Læs mere
This practical book will support managers in understanding data transformation and data analytics and give them tools and models to use in their organisation.
Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves and clustering.
This book provides comprehensive research and explores the different applications of data science and machine learning in subsurface engineering.
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability,... Læs mere
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability,... Læs mere