Mathematical Tools for Data Science

Instructor: Carlos Fernandez-GrandaContributors: Brett Bernstein | Aakash Kaku | Sheng Liu | Sreyas Mohan Description This course provides a rigorous introduction to mathematical tools for data science drawn from linear algebra, Fourier analysis, probability theory, and convex optimization. The main topics are covariance matrices, principal component analysis, linear regression, regularization, sparse regression, frequency representations, the short-time Fourier … Continue reading Mathematical Tools for Data Science

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