10-601 Introduction to Linear Algebra

This a module used in the Syllabus for Machine Learning 10-601

The course requires a fairly good grasp of basic probability and linear algebra. If you're rusty in linear algebra, there are some on-line sources that may help you.

• The backup lectures on linear algebra for Andrew Ng's course cover about the right level of detail.
• Zico Kolter has a one-lecture review of linear algebra. Link to be posted.

Some things you should be familiar with:

• Vector and matrix notation.
• Basic operations for vectors and matrices, e.g. addition, inner product and multiplication. You should known how to perform them, and how to visualize them.
• The L1 and L2 norm of a vector.
• To complete....