Computational Linear Algebra for Coders

This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy?

This course was taught in the University of San Francisco's Masters of Science in Analytics program, summer 2017 (for graduate students studying to become data scientists).

The course uses:

  • Python with Jupyter Notebooks
  • Scikit-Learn
  • Numpy
  • Numb
  • PyTorch
Help Us Improve This Page Updated at Thu, Dec 9, 2021