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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Science for Neuroimaging: An Introduction

Data Science for Neuroimaging: An Introduction

Rokem, Ariel
Yarkoni, Tal

Paperback

Technology & EngineeringCognition

ISBN10: 0691222754
ISBN13: 9780691222752
Publisher: Princeton University Press
Published: Dec 12 2023
Pages: 392
Weight: 1.50
Height: 0.94 Width: 6.85 Depth: 9.92
Language: English

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

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