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  Machine LearningNational University of Colombia Dimensionality Reduction Yesica Alejandra Salas Cárdenas December 7th, 2018  1 Content MOTIVATIONPRINCIPAL METHODSPCAWhat and How?The Matematical formulationSteps for performing PCAChossing K (Number of principal components)Executing on python | The Feather Beamer Theme  2 MOTIVATION | The Feather Beamer Theme  3 What is dimensionality reduction? Dimensionality reduction is the procedure of reducing the number ofrandom variables under some considerations, with the goal ofobtaining a set of principal variables, which capture the highestpossible variance and information about the srcinal data set.If we have large data set with 50 variables or more, and we need totrain a learning algorithm, then we probably have to compress thedata. | The Feather Beamer Theme
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