Supervised Learning

What is supervised learning?

Hey @kousalya.jayasankar, Supervised learning is a machine learning approach where an algorithm learns from a labeled dataset. In this approach, the dataset includes input examples (features) along with their correct output labels. The main objective is for the algorithm to grasp the relationship between the input and output, enabling it to make accurate predictions or classifications on unseen data.

Let’s consider an example in the context of ConverSight. In ConverSight, when working with Athena, you need to provide the necessary knowledge and parameters through SME for Athena to comprehend the dataset. This allows Athena to learn from the labeled data and make informed predictions or classifications based on the input provided.