STEM / applied
Linear algebra for CS · Undergraduate · CS / Programming
Topics
CS applications
- Transformations for computer graphics
- PageRank as eigenvector problem (intro)
- PCA for dimensionality reduction
- Solving linear systems in ML (normal equations, regularization)
- Numerical stability and conditioning (intro)
Computation
- Implementing matrix ops in NumPy/Python
- Sparse matrices for graphs and networks (intro)
- Iterative methods: power iteration, conjugate gradient (survey)
- GPU matrix multiply overview (intro)
- Using LA libraries vs rolling your own
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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