Wk1

Mathematics for Machine Learning: Linear Algebra

Basic Example: multiply a matrix by a vector

$$2a + 3b = 8 \newline 10a + 1b = 13 \newline \left (\begin{matrix} 2 & 3 \\ 10 & 1 \end{matrix} \right) \left [\begin{matrix} a \\ b \end{matrix} \right] = \left [\begin{matrix} 8 \\ 13 \end{matrix} \right]$$

The order in which we add vectors doesn't matter, called Associative ->

$$(r + s) + t\newline r + (s + t)$$