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Linear algebra foundations used across ML, vision, and optimization.
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Adds rigorous structure to the fundamentals and links well to quantitative work.
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Good formal base for later simulation, control, robotics, and aerospace work.
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Free canonical git reference; strong for contributor workflows.
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Data structures and algorithms for high-performance systems.
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Fourier/Laplace, sampling, LTI systems, and core signal intuition.
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Modern physics foundations: spacetime, relativistic dynamics, and intuition.
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Information theory + digital comm fundamentals for modern RF/LLM-era signal systems.