Explores linear regression from a statistical inference perspective, covering probabilistic models, ground truth, labels, and maximum likelihood estimators.
Covers the principles and applications of magnetic resonance imaging, including NMR spectroscopy, multi-dimensional imaging, and image contrast mechanisms.
