Machine Learning Algorithms and Applications
Machine learning (ML) algorithms are at the heart of modern artificial intelligence (AI) systems, powering everything from recommendation engines to autonomous vehicles. These algorithms enable computers to learn from data and make decisions or predictions without explicit programming. Understanding Machine Learning Algorithms Machine learning algorithms can be broadly categorized into several types: 1. Supervised Learning In supervised learning, algorithms learn from labeled data. They are trained on input-output pairs and learn to map inputs to desired outputs. Popular algorithms include linear regression, decision trees, support vector machines, and neural networks. 2. Unsupervised Learning Unsupervised learning involves training algorithms on unlabeled data to find hidden patterns or structures. Clustering algorithms like K-means clustering and hierarchical clustering, as well as dimensionality reduction techniques like principal ...