AI, Artificial Intelligence, Machine Learning, Engineering, Data Science.
clarity helps in understanding the input space, the output space, and the mapping between them. Mathematically, we must be clear about the objective function we are optimizing. For instance, in supervised learning, this often involves minimizing a loss function: Here, F represents the hypothesis