numerical-linear-algebra
The course addresses computational linear algebra fundamentals crucial for data science, highlighting speed and precision. Using Python and Jupyter Notebooks, learners explore key libraries—Scikit-Learn, Numpy, and PyTorch—through practical exercises like topic modeling and health predictions. Gain insights into methodologies such as SVD and PCA, supported by video materials and forum discussions, enhancing practical matrix computation skills for industry applications.