Supervised learning is a fundamental concept in the field of machine learning, enabling computers to learn patterns and make predictions based on labeled training data.
It is one of the most commonly used approaches in AI, with a wide range of applications in various domains. In this article, we will explore the concept of supervised learning, its key components, and its significance in building predictive models.