Machine Learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that enable computers to learn from and make predictions or decisions based on data. Instead of being explicitly programmed to perform a specific task, a machine learning system improves its performance as it is exposed to more data over time.

Machine learning can be categorized into several types, including supervised learning, where the model is trained on labeled data; unsupervised learning, where the model identifies patterns in unlabeled data; and reinforcement learning, where an agent learns by interacting with an environment and receiving feedback.

The core aim of machine learning is to allow computers to identify and interpret complex patterns and trends in large datasets, thereby automating decision-making processes and enhancing predictive capabilities in various applications, from image and speech recognition to autonomous systems and personalized recommendations.