Data science for neuroimaging: an introduction (Record no. 59335)

MARC details
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691222752
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.804754 ROK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rokem, Ariel
245 ## - TITLE STATEMENT
Title Data science for neuroimaging: an introduction
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Princeton:
Name of publisher, distributor, etc Princeton University Press,
Date of publication, distribution, etc 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 377p.:
Other physical details ill.; pbk.:
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes Bibliography, and Index.
520 ## - SUMMARY, ETC.
Summary, etc 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.<br/><br/>• Fills the need for an authoritative resource on data science for neuroimaging researchers<br/>• Strong emphasis on programming<br/>• Provides extensive code examples written in the Python programming language<br/>• Draws on openly available neuroimaging datasets for examples<br/>• Written entirely in the Jupyter notebook format, so the code examples can be executed, modified, and re-executed as part of the learning process<br/><br/>https://press.princeton.edu/books/hardcover/9780691222738/data-science-for-neuroimaging
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Topical term or geographic name as entry element Unix Operating System
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Topical term or geographic name as entry element Computational Environment
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Topical term or geographic name as entry element Image Processing
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Topical term or geographic name as entry element Python Environment
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Topical term or geographic name as entry element Model Selection
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Topical term or geographic name as entry element Image Segmentation
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Yarkoni, Tal
Relator term Co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 16/08/2024 CBS Publisher 3156.55   616.804754 ROK 034452 16/08/2024 1 3156.55 Books


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