Data Science for Neuroimaging is popular PDF and ePub book, written by Ariel Rokem in 2023-12-12, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Data Science for Neuroimaging can be Read Online from any device for your convenience.

Data Science for Neuroimaging Book PDF Summary

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

Detail Book of Data Science for Neuroimaging PDF

Data Science for Neuroimaging
  • Author : Ariel Rokem
  • Release : 12 December 2023
  • Publisher : Princeton University Press
  • ISBN : 9780691222752
  • Genre : Science
  • Total Page : 392 pages
  • Language : English
  • PDF File Size : 13,7 Mb

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