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Covers linear problems, LASSO, and AMP in supervised learning, including Generalized Linear Models and N-dimensional models.
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Explores Tau pathologies in Alzheimer's and related disorders, covering hyperphosphorylation, propagation, genetic associations, and therapeutic interventions.
Monstrous Moonshine
Explores Monstrous Moonshine, focusing on the 1979 discovery and its mathematical connections.
Multiclass Classification
Covers the concept of multiclass classification and the challenges of linearly separating data with multiple classes.
Regression & Systemed Lineaires
Covers the principles of regression and linear systems, focusing on iterative methods.
Parkinson's Disease: Pathology and Progression
Explores Parkinson's disease pathology, progression, spreading mechanisms, and initiation sites.
Smart Orthopedic Implants
Explores smart orthopedic implants, including anatomy, arthritis, and future perspectives in the field of orthopedics.
Sparsest Cut: Leighton-Rao Algorithm
Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.

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