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In this contribution we show, through some toy examples, how to use Matrix Factorization techniques to analyze multivariate data sets in order to obtain some conclusions from them that may help us to take decisions. In particular, we explain how to employ the technique of Principal Component Analysis (PCA) to reduce the dimensionality of the space of variables.
June 21, 2017 · 16 min read
SOLUCIONES DIGITALES
Wagtail and multi-language
Dec. 28, 2016 · 7 min read
SOLUCIONES DIGITALES
Documenting projects with MkDocs
June 20, 2016 · 2 min read
Handling the keyboard in React Native
May 12, 2016 · 2 min read
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