# Webinars on Linear Algebra and Vector Calculus

I’ve started doing some short webinars on core math topics in machine learning for Weights & Biases, a startup that offers a really cool experiment tracking, visualization, and sharing tool.

The first webinar,
*How Linear Algebra is Not Like Algebra*,
presents Linear Algebra from a programmer’s perspective:
every vector/matrix/tensor is a function, shapes are types,
and matrix multiplication is composition of functions.

The second webinar
*Look Mom, No Indices!*,
introduces an index-free style of computing gradients
for functions that take vectors and matrices as inputs.
It’s a teaser for
this blog post series.