fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Covers practical matrix decomposition techniques (SVD, NMF, robust PCA) with real-world applications like topic modeling and video background removal. Uses NumPy and Scikit-Learn for core algorithms, with Numba for performance-critical Python code compilation and PyTorch for GPU-accelerated operations. Paired with YouTube lecture videos that review and reinforce concepts from each notebook module.
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