Independently and identically distributed (i.i.d): Revision history

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20 March 2023

  • curprev 05:0505:05, 20 March 2023‎ Walle talk contribs‎ 3,470 bytes +3,470‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, the concept of ''independently and identically distributed'' (i.i.d) refers to a fundamental assumption about the nature of data used in statistical modeling and analysis. The i.i.d assumption is particularly important in the development of machine learning algorithms and their evaluation, as it affects the validity of the models and the accuracy of their predictions. The i.i.d assumpt..."
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