Description: Data Science for Neuroimaging by Ariel Rokem, Tal Yarkoni Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Data science methods and tools - including programming, data management, visualisation 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 analyse 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, visualisation 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. Author Biography 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. Details ISBN 0691222738 ISBN-13 9780691222738 Title Data Science for Neuroimaging Author Ariel Rokem, Tal Yarkoni Format Hardcover Year 2023 Pages 392 Publisher Princeton University Press GE_Item_ID:160023673; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 132.18 USD
Location: Fairfield, Ohio
End Time: 2024-11-22T03:08:10.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9780691222738
Book Title: Data Science for Neuroimaging
Number of Pages: 392 Pages
Language: English
Publication Name: Data Science for Neuroimaging : an Introduction
Publisher: Princeton University Press
Publication Year: 2023
Item Height: 1.1 in
Subject: Life Sciences / Neuroscience, Neural Networks, Neuropsychology, Databases / Data Mining, Life Sciences / Biology, Biomedical
Type: Textbook
Item Weight: 31 Oz
Subject Area: Computers, Technology & Engineering, Science, Psychology
Author: Tal Yarkoni, Ariel Rokem
Item Length: 10.3 in
Item Width: 7.3 in
Format: Hardcover