Entropy: Revision history

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18 March 2023

  • curprev 19:0219:02, 18 March 2023‎ Walle talk contribs‎ 3,036 bytes +3,036‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, entropy is a fundamental concept that is derived from information theory. It is used to measure the impurity or randomness in a set of data. Entropy has various applications in machine learning, such as decision tree construction, feature selection, and information gain calculation. Understanding entropy and its implications is essential for designing and implementing effective mac..."
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