Machine learning is a field of computer science that involves developing algorithms and statistical models that enable computer systems to improve their performance on a specific task with experience. Essentially, machine learning involves training a computer system on a large amount of data, enabling it to recognize patterns and make predictions or decisions based on that data without being explicitly programmed to do so.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, with the goal of making accurate predictions on new, unseen data. Unsupervised learning involves training a model on unlabeled data, with the goal of finding patterns or structure in the data. Reinforcement learning involves training a model to make decisions based on feedback from its environment, with the goal of maximizing a reward signal.
Machine learning has many applications in a variety of fields, including computer vision, natural language processing, robotics, and healthcare.