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Machine learning (ML) is a subfield of artificial intelligence (AI) that uses algorithms to teach computer systems how to perform tasks without being explicitly programmed. It focuses on training systems to make sense of and use data effectively, often relying on natural language processing (NLP) during training. ML has been around for decades and offers benefits such as task automation and scalability. There are four main approaches to training ML models: supervised, unsupervised, semi-supervised, and reinforcement learning. Implementing ML in the enterprise requires technical expertise and careful attention to specific use cases.
