- Mathematical analysis, both (linear and nonlinear)
- Algorithms, approximation theory, and optimization
- Modeling with data and uncertainty, using advanced statistical and probabilistic methods, as well as the theory and tools of machine learning.
- Modeling with dynamics and control, covering numerical and theoretical differential equations, dynamical systems, and optimal control.
smwade/ACME
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Image segmentation, facial recognition, numerical methods, and so much more.
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