In machine learning, convexity is a critical mathematical property often linked to the optimization processes used in training models. Convexity ensures that optimization algorithms like gradient descent work efficiently and converge to a global minimum. In this article, we’ll dive into what convexity is, why it’s vital, and how to optimize for it in machine … Continue reading Convexity Optimization in Machine Learning Models