#### Reshape a matrix to the target dimensions given by `n_rows`

and `n_cols`

.

```
np.reshape(mat, n_rows, n_cols)
```

#### Returns the dot product of two matrices.

Dot product is also known as matrix multiplication.

```
np.dot(mat_1, mat_2) # vector
```

#### Returns the cross product of two matrices.

```
np.cross(mat_1, mat_2) # This is what we multiply 2 matrix like (m x n) (n x m)
```

#### Computes the inverse of a matrix.

```
np.linalg.inv(mat)
```