Data Science for Neuroimaging: An Introduction - Tapa blanda

Rokem, Ariel; Yarkoni, Tal

 
9780691222752: Data Science for Neuroimaging: An Introduction
Tapa blanda
ISBN 10: 0691222754 ISBN 13: 9780691222752
Editorial: Princeton University Press, 2023

Sinopsis

Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging research

As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales. Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice. This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data. Through guided, hands-on explorations of openly available neuroimaging datasets, the book explains such elements of data science as programming, data management, visualization, and machine learning, and describes their application to neuroimaging. Readers will come away with broadly relevant data science skills that they can easily translate to their own questions.

• Fills the need for an authoritative resource on data science for neuroimaging researchers
• Strong emphasis on programming
• Provides extensive code examples written in the Python programming language
• Draws on openly available neuroimaging datasets for examples
• Written entirely in the Jupyter notebook format, so the code examples can be executed, modified, and re-executed as part of the learning process

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Acerca del autor

Ariel Rokem is research associate professor at the University of Washington Department of Psychology and Data Science Fellow at the University of Washington eScience Institute. He is a contributor to Python open-source tools for scientific computing and directs the NIH-funded Summer Institute for Neuroimaging and Data Science. Tal Yarkoni is a data scientist and research professor in the Department of Psychology at the University of Texas at Austin. His academic work focuses on developing new tools and methods for the analysis of psychology and neuroimaging data.

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Editorial
Princeton University Press
Año de publicación
2023
Idioma
Inglés
ISBN 10 
0691222754
ISBN 13 
9780691222752
Encuadernación
Tapa blanda
Número de páginas
392
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780691222738: Data Science for Neuroimaging: An Introduction

Edición Destacada

ISBN 10:  0691222738 ISBN 13:  9780691222738
Editorial: Princeton University Press, 2023
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