AI, Supervised Learning, Machine Learning.
architecture of the model can vary depending on the nature of the problem. You can use a simple regression algorithm or a neural network with billions of parameters (however, it’s usually the case for unsupervised learning). During the training phase, the model adjusts its parameters iteratively to