ML (Machine Learning)
Machine Learning (ML) is a branch of artificial intelligence that enables systems to learn patterns from data and use them to make predictions, decisions, or generate outputs without being explicitly programmed for every task.
What is ML (Machine Learning)?
Machine learning algorithms learn from examples or historical data to identify patterns and relationships. Depending on the task, models can be trained using supervised, unsupervised, semi-supervised, or reinforcement learning approaches. After training, a model can apply what it has learned to new data.
Why is ML Important?
Machine learning allows organizations to automate complex tasks, uncover patterns in large datasets, and make data-driven predictions. It forms the foundation of many modern AI applications, from recommendation systems and fraud detection to computer vision and natural language processing.
Common use cases
ML is commonly used for classification, prediction, recommendation systems, anomaly detection, fraud detection, forecasting, image recognition, natural language processing, and automation.