Stochastic Gradient, Machine Learning, AI, Gradient Descent.
nonlinear relationship functions? The idea is to increase the number of dimensions in the data points. With n = 1, consider mapping each data point x^i ∈ R to a (d + 1) dimensional vector: x 7→ xˆ = (1, x, x² , . . . , xᵈ ). For example, if d = 4, a point with value 3 is mapped to the 5-tuple (1,