著者・編者Ariel Rokem and Tal Yarkoni
一般注記Includes bibliographical references (p. 371-373) and index
Summary:"Like many other research fields, over the last two decades neuroscience has turned towards data-driven discovery, a change which has dramatically reshaped the field. Through large collaborative projects and concerted data collection and data sharing efforts, the field is gaining access to large and heterogeneous data sets, at scales that have never been possible before. While these data present tremendous opportunities, their effective management, storage, and analysis presents serious challenges for many researchers. The tools and techniques of data science - a field which draws on software engineering, statistics, and machine learning to increase the efficiency and reproducibility of data extraction and analysis - have much to offer neuroscientists, but unfortunately these concepts are not taught within the standard neuroscience curriculum. This book offers an introduction to contemporary data science and its application in neuroimaging research. Taking a "hands-on" approach, the book explains comm
連携機関・データベース国立情報学研究所 : CiNii Research
NACSIS書誌ID(NCID)https://ci.nii.ac.jp/ncid/BD07304756 : BD07304756