Machine Learning (ML) Models are algorithms or statistical models that enable computers to learn patterns from data and make predictions or decisions without being explicitly programmed. They are the core components of machine learning systems and are used in a wide range of applications, from image recognition and natural language processing to recommendation systems and predictive analytics.
Machine learning models are mathematical frameworks that learn patterns from data through training. They are designed to generalize from the training data to make predictions or decisions on new, unseen data. ML models can be categorized into three main types: supervised learning, unsupervised learning, and reinforcement learning.