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Lecture 7 - Learning from Data - Data Mining
Description: Data mining follows pre-set rules and is static, while machine learning adjusts the algorithms as the right circumstances manifest themselves.
Data mining is used on an existing dataset (like a data warehouse) to find patterns. Machine learning, on the other hand, is trained on a 'training' data set, which teaches the computer how to make sense of data, and then to make predictions about new data sets.
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