Machine learning

2. Machine learning and Its Types • Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn and improve their performance on specific tasks without being explicitly programmed. In traditional programming, developers write explicit instructions to solve a problem. In contrast, machine learning algorithms use data to learn patterns, relationships, and rules, which they can then use to make predictions, decisions, or solve complex problems. • Supervised Learning: Learns from labeled data to make predictions or classifications on new data. • Unsupervised Learning: Learns from unlabeled data to find patterns and structures without explicit output labels. • Reinforcement Learning: Algorithms where an agent learns to make decisions in an environment.