How is Linear Algebra Applied for Machine Learning?

Firstly, let's address the building blocks of linear algebra -- scalar, vector, matrix, and tensor. To implement them, we can use NumPy array np.array() in python. Let's look at the shape of the vector, matrix, and tensor we generated above. Similar to how we perform operations on numbers, the same logic also works for matrices and vectors. However, please note that these operations on matrices have restrictions on two matrices being the same size.