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Mathematics_for_machine_learning ⭐ 32

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

Signalprocessingbook ⭐ 9

Repositorio del curso INFO183: Análisis de sistemas lineales, Instituto de Informática, UACh

Intro Sci Computing ⭐ 5

UW AMATH 301. Scientific computing and numerical methods for physical, biological, and engineering problems. Topics include root-finding, optimization, curve fitting, solving linear systems, singular value decomposition (SVD, PCA), numerical differentiation and integration, solving first-order and higher order ODEs, stability and stiffness of ODEs, phase portraits, chaotic systems, and Fourier transform.

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