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Machine learning is an important means of synthesizing and interpreting the underlying relationship between data patterns and proactive optimization tasks. Machine learning exploits the power of generalization, which is an inherent and essential component of concept formation through human learning. The learning process constructs a that is hardened by critical feedback to improve performance. The knowledge base system gathers a collection of facts and processes them through an inference engine that uses rules and logic to deduce new facts or inconsistencies.
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- Machine Learning in Action: Examples
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- Chapter 11