‘Machine learning’: ¿qué es y cómo funciona? As new input data is introduced to the trained ML algorithm, it uses the developed model to make a prediction. The primary difference between supervised and unsupervised learning lies in the presence of labeled data. Supervised learning requires labeled data for training, while unsupervised learning does not. Supervised learning is used for tasks with clearly defined outputs, while unsupervised learning is suitable…