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Computing Matrix Algebra
practical notes foR data science
This book is actually a cheat sheet about computing matrix algebra operations such as matrix multiplication, inversion and factorization.
It is written foR (aspiring) data scientists where with "foR" (capital letter R) I mean the side of data science addicted to R and its gorgeous ecosystem especially including Rcpp, RcppArmadillo and RcppEigen.
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About
About the Book
Nobody can be a poet without feeling strong affection for words, at the same time nobody can be serious about data science without becoming close friend to matrices.
The matrix is a tidy mathematical object with its own set of rules, its own algebra that enables knowing matrix structure and interacting with other matrices, vectors and scalars.
This booklet help in strengthen this relationship interacting with matrices by computing some important matrix algebra operations.
Author
About the Author
Mario De Toma
Mario holds a master level degree in engineering from Politecnico di Milano University and a professional certificate in data science from HarvardX.
He gained a huge experience in managing projects, services and people for IT consulting and service corporations.
The reader can visit the author's blog (https://www.mdt-datascience.com/) for more adventures in data and quantitative analysis.
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