Machine learning (ML), a significant domain within artificial intelligence (AI), is centered around the development of algorithms capable of learning from data without the need for explicit programming. The core objective of machine learning is to empower computers to autonomously discern patterns in data and utilize these patterns to generate predictions or make decisions.
In the realm of machine learning, a model undergoes training on a labeled dataset. This training process enables the model to recognize the patterns and correlations between the input data and the output data. Subsequently, the trained model is applied to make predictions or decisions when presented with new, previously unseen data. Machine learning encompasses three primary categories: supervised learning, unsupervised learning, and reinforcement learning.