Guided Notes

Linear Algebra Basics

Dot products, matrix multiplication, transposes, identity and inverse matrices, and solving equations.

Vectors and matrices

Slide 1 / 5

In linear algebra, a 1-D array is a vector and a 2-D array is a matrix. NumPy's linear algebra tools power machine learning (a neural network layer is a matrix multiplication), 3-D graphics (rotations), economics, and engineering.

Most functions live in np.linalg: np.linalg.inv, np.linalg.det, np.linalg.solve, np.linalg.norm, and np.linalg.eig.

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