# 10-601 Introduction to Linear Algebra

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Jump to navigationJump to searchThis 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....*