Types of Machine Learning Explained with Examples??
Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn from data and improve their performance without being explicitly programmed. Instead of relying on fixed instructions, machine learning models analyze patterns, make predictions, and continuously improve as they process more data. It powers many technologies we use every day, including search engines, recommendation systems, voice assistants, fraud detection, and self-driving cars. AI and Machine Learning Course in Bangalore Machine learning is broadly classified into three main types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning . Each type is designed to solve different kinds of problems and is used across various industries. 1. Supervised Learning Supervised learning is the most commonly used type of machine learning. In this approach, the model is trained using labeled data , meaning the input data already has the correct output associated with it....