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Lecture Applied data science: Regularisation
Lecture "Applied data science: Regularisation" includes content: variable subset selection, shrinkage methods, dimension reduction, considerations in high dimensions,... We invite you to consult!
kimphuong1144
04/12/2023
Lecture Applied data science
Applied data science
Variable subset selection
Shrinkage methods
Dimension reduction
Considerations in high dimensions
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