In machine learning, algorithms are sets of rules or procedures that enable computers to learn from data. They find patterns, make predictions, or make decisions without being explicitly programmed. Common algorithms include decision trees, neural networks, and support vector machines, each suited to different tasks. Input data, Learning process, Model creations, Testing and Validation, Optimization, etc. are the key components of Machine algortihm.