AI and machine learning training involves teaching computer systems to learn from data and improve their performance on specific tasks without explicit programming. For instance, consider training a spam email filter. Initially, the filter is provided with a dataset containing examples of both spam and non-spam emails.
Through training, the filter learns to identify patterns in the emails that distinguish spam from legitimate messages. As more emails are processed, the filter adjusts its internal parameters to improve its accuracy. Eventually, the filter becomes adept at classifying incoming emails as either spam or non-spam, effectively automating the task of sorting through large volumes of email.
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