Machine learning algorithms or models are systems developed through iterative learning. The learning process usually involves feeding the machine a certain amount of data, usually with corresponding outcomes or labels, and then using mathematical optimization algorithms to adjust the model's parameters to make accurate predictions about new, unseen data.