Buch, Englisch, 408 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 610 g
Methods and Applications to Brain Disorders
Buch, Englisch, 408 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 610 g
ISBN: 978-0-12-815739-8
Verlag: William Andrew Publishing
Zielgruppe
Advanced students and researchers in behavioral neuroscience, psychology, psychiatry, psychology and neurology
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
Weitere Infos & Material
Part I 1. Introduction to machine learning 2. Main concepts in machine learning 3. Applications of machine learning to brain disorders
Part II 4. Linear regression 5. Linear methods for classification 6. Support vector machine 7. Support vector regression 8. Multiple kernel learning 9. Deep neural networks 10. Convolutional neural networks 11. Autoencoders 12. Principal component analysis 13. K-means clustering
Part III 14. Dealing with missing data, small sample sizes, and heterogeneity 15. Working with high dimensional feature spaces: the example of voxel-wise encoding models 16. Multimodal integration 17. Bias, noise and interpretability in machine learning: from measurements to features 18. Ethical issues in the application of machine learning to brain disorders
Part IV 19. A step-by-step tutorial on how to build a machine learning model