Ariel

A9780691222738 — Hardback. New. <p><b>Data science methods and tools—including programming data management visualization and machine learning—and their application to neuroimaging research</b><br /><br />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</p> hardcover