Hi$!$ Could you help me to due with the question? I don't know how I need to write the code for this question. Thanks a lot~

$2\mathrm{.}4$ Dimensionality Reduction with SVD

for dimensionality reduction, as we have seen earlier. More technically speaking, it corresponds to the number of $$concepts$$ or dimensions we will extract from the matrix.

$-$ Select an appropriate number of singular values to retain based on your chosen criterion $($if the selected picture is attached in the picture$).$

$-$ Print the values in U and V$^$t$,$ It$$s evident that the last few columns of matrix U contains values so small that their contribution to the data will be minimal.