The Proof of Learning in Machine Learning/AI

The post explores the concept of learning in machine learning/AI using the hypothetical scenario of a cook replicating a delicacy. It discusses the foundation of learning, the relationship between expected and reproduced tastes, the role of error, the function of manipulating ingredients, the cost function, and the use of gradient descent for learning algorithms.