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Machine learning (ML) is a subfield of AI that helps train machines to make decisions or complete tasks independently by studying and learning from data. ML involves the use of supervised or unsupervised learning techniques, where machines are trained to recognize patterns or process information very quickly. ML utilizes a variety of learning methods such as supervised learning, unsupervised learning, and reinforcement learning to train machines with data. Once an ML model has been trained with appropriate data and tested with different algorithms, the system can be used for various purposes, such as predicting customer behavior or detecting frauds.