Machine learning is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve their performance on specific tasks without being explicitly programmed. It involves developing algorithms and models that allow machines to recognize patterns, make predictions, and adapt their behavior based on experience.

The process of machine learning typically involves several key steps. First, data is collected and preprocessed to ensure its quality and relevance. Then, this data is used to train machine learning models using various techniques such as supervised learning, unsupervised learning, or reinforcement learning.

Machine learning finds applications in various domains, including image and speech recognition, natural language processing, recommendation systems, predictive analytics, autonomous vehicles, and more. It continues to advance rapidly, driving innovation and automation across industries.