Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Fair. 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. N° de réf. du vendeur 00106330775
Quantité disponible : 1 disponible(s)
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. 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. N° de réf. du vendeur CIN1683229916G
Quantité disponible : 3 disponible(s)
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Very Good. 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. N° de réf. du vendeur 00106216607
Quantité disponible : 1 disponible(s)
Vendeur : Orion Tech, Kingwood, TX, Etats-Unis
paperback. Etat : Very Good. N° de réf. du vendeur 1683229916-2-37257956
Quantité disponible : 1 disponible(s)
Vendeur : Greenworld Books, Arlington, TX, Etats-Unis
Etat : like_new. Fast Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy! N° de réf. du vendeur GWV.1683229916.LN
Quantité disponible : 1 disponible(s)
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Paperback. Etat : Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. N° de réf. du vendeur 1683229916-7-1
Quantité disponible : 1 disponible(s)
Vendeur : MERS Goodwill-Kansas City, Blue Springs, MO, Etats-Unis
Etat : good. The book has been read but is in good condition. It has very minimal damage to the cover, including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. The binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, and no writing in the margins. There are no missing pages. See the seller's listing for full details and a description of any imperfections. N° de réf. du vendeur WMEKV.1683229916.G
Quantité disponible : 1 disponible(s)
Vendeur : HPB-Diamond, Dallas, TX, Etats-Unis
paperback. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_444750142
Quantité disponible : 1 disponible(s)
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Paperback or Softback. Etat : New. Camp Club Girls: Alexis. Book. N° de réf. du vendeur BBS-9781683229919
Quantité disponible : 5 disponible(s)
Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Fair. 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. N° de réf. du vendeur CIN1683229916A
Quantité disponible : 1 disponible(s)