#### Course Description

We all know that calculus courses such as *18.01 Single Variable Calculus* and *18.02 Multivariable Calculus* cover univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next big step, “matrix calculus” and calculus on arbitrary …

We all know that calculus courses such as *18.01 Single Variable Calculus* and *18.02 Multivariable Calculus* cover univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next big step, “matrix calculus” and calculus on arbitrary vector spaces.

This class covers a coherent approach to matrix calculus showing techniques that allow you to think of a matrix holistically (not just as an array of scalars), generalize and compute derivatives of important matrix factorizations and many other complicated-looking operations, and understand how differentiation formulas must be reimagined in large-scale computing.

## Course Info

##### Instructors

##### Departments

##### Learning Resource Types

*theaters*Lecture Videos

*notes*Lecture Notes

*assignment_turned_in*Problem Sets with Solutions

*Instructor Insights*