Machine Learning Models

Machine learning models are computer programs that learn from data to make predictions or decisions without being explicitly programmed for each task. They analyze patterns in large amounts of information, similar to how humans learn from experience. For example, a model might learn to recognize photos of cats by studying thousands of cat images. Once trained, it can identify cats in new pictures. These models are used in various applications, from recommending movies to detecting fraud. Essentially, they enable computers to improve over time through experience, making them powerful tools for solving complex problems.