The machine learning branch of artificial intelligence aims to understand human learning and devises strategies to emulate this process. It predominantly employs three learning methods: supervised learning, unsupervised learning, and reinforcement learning. Key concepts include data processing, regression models, and clustering techniques like K-Means, all crucial for identifying patterns, assessing model performance, and preparing data for machine learning operations.
