Motivating examples. Using Julia, Jupyter, Markdown and basic latex formulas. No prior reading is needed.

From [VMLS]: 1.1 Vectors, 1.2 Vector addition, 1.3 Scalar-vector Multiplication, 1.4 Inner Product, 1.5 Complexity of vector computations, 2.1 Linear Functions, 2.2 Taylor approximation, C.1.2 Scalar-valued function of a vector, C.1.3 Vector-valued function of a vector.
From [3B1B]:

From [VMLS]: 3.1 Norm, 3.2 Distance, 3.3 Standard deviation, 3.4 Angle, 4.1 Clustering, 4.2 A clustering objective, 4.3 The k-means Algorithm.
From [3B1B]: