Machine learning is a technique in the field of artificial intelligence that enables computer systems to learn from data to accomplish tasks or improve performance. Machine learning algorithms use data to build a mathematical model and use that model to make predictions or decisions.
What is machine learning?
Machine learning is generally divided into three categories: supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning requires training data, each sample has input features and corresponding labels. Models use this data to predict new labels, such as image classification or sentiment analysis.
Unsupervised learning does not require labels, but uses methods such as clustering and dimensionality reduction to find hidden structures or patterns between data, such as recommendation systems.
Reinforcement learning learns how to maximize rewards by interacting with the environment, such as learning how to win in a game.
Machine learning has a wide range of applications in many fields, including natural language processing, computer vision, medical diagnosis, financial forecasting, and more.
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