Machine learning is a branch of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform specific tasks without explicit instructions. Instead, these systems learn and make predictions or decisions based on patterns and inferences from data. This iterative aspect of machine learning is important because as models are exposed to new data, they can adapt independently. They learn from previous computations to produce reliable, repeatable decisions and results. Applications of machine learning are vast and range from email filtering and computer vision to more complex tasks like predictive analysis and autonomous vehicles. It's a technology that is not only shaping our current technological landscape but also defining the future of innovation.
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