Essential Math, Data Science, Machine Learning, Deep Learning, Mathematics.
linear transformations. This means that if you take any vector u and apply the matrix A to it, you obtain a transformed vector v. Take the example of: and If you apply A to the vector u (with the matrix-vector product), you get a new vector: Let’s draw the initial and transformed vectors: Figure 1: