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Data science for neuroimaging : an introduction / Ariel Rokem and Tal Yarkoni.
- Format:
- Book
- Author/Creator:
- Rokem, Ariel, 1977- author.
- Yarkoni, Tal, author.
- Language:
- English
- Subjects (All):
- Nervous system--Imaging--Data processing.
- Nervous system.
- Neurosciences--Research--Methodology.
- Neurosciences.
- Programming languages (Electronic computers).
- Data sets.
- Machine learning.
- Data Science--methods.
- Neuroimaging.
- Programming Languages.
- Datasets as Topic.
- Medical Subjects:
- Data Science--methods.
- Neuroimaging.
- Programming Languages.
- Datasets as Topic.
- Physical Description:
- 1 online resource (xiv, 377 pages) : illustrations
- Place of Publication:
- Princeton : Princeton University Press, [2024]
- Contents:
- The unix operating system
- Version control
- Computational environments and computational containers
- A brief introduction to python
- The python environment
- Sharing code with others
- The scientific python ecosystem
- Manipulating tabular data with pandas
- Visualizing data with python
- Data science tools for neuroimaging
- Reading neuroimaging data with NiBabel
- Using NiBabel to align different measurements
- Image processing
- Image registration
- The core concepts of machine learning
- The Scikit-learn package
- Overfitting
- Validation
- Model selection
- Deep learning.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on November 16, 2023).
- Other Format:
- Print version: Rokem, Ariel, 1977- Data science for neuroimaging
- ISBN:
- 9780691222745
- 0691222746
- Publisher Number:
- 99995222667
- Access Restriction:
- Restricted for use by site license.
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