May 2018
Beginner to intermediate
384 pages
10h 19m
English
As we have seen in the previous section, reducing the dimensions of the datasets increases the efficiency of the model generation, without sacrificing the amount of knowledge contained in the data. As a result, the data is compressed and easy to visualize in fewer dimensions. SVD is a fundamental mathematical tool that can be easily leveraged for dimensionality reduction.
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