Numerically Stable Matrix Factorization for Mathematics
Hands on guide to numerically stable matrix factorizations for ML, covering SVD, QR, randomized methods, precision, batching, out of core, and GPU tips.
Mathematics
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Mathematics: Efficient Eigenvalue Computation for ML
Hands on comparison of ARPACK, Lanczos, randomized SVD, and GPU solvers for eigenvalue computation in ML pipelines.
Efficient Sparse Matrix Algebra in Python for Mathematics
Hands-on Mathematics guide: implement and optimize sparse matrix algebra in Python with SciPy, PyTorch, and GPU libraries for production ML pipelines.