How do machine learning algorithms improve over time?
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Machine learning algorithms improve through a process called training, where they are fed large amounts of data. As they process this data, they adjust their parameters to minimize errors and improve accuracy. Continuous training with new data helps the algorithms adapt to changing patterns and enhance performance. Additionally, advancements in algorithm design and computational power contribute to better and more efficient learning