Optimization in Machine Learning — How Models Learn Parameters and What Actually Improves Performance

This article explains that optimization is the fundamental process in Machine Learning that enables models to learn parameters and improve their performance. It clarifies that 'model learning' is, in fact, the optimization of parameters with respect to a loss function.