Introduction to distributed computing using Spark
5 to 10 h
Basic concepts (RDDs, transformations, runtime architecture) behind distributed Machine Learning (ML) using Spark
MLlib, a library of machine learning functions
Implementation of supervised and unsupervised algorithms in Spark
“Foundations of Data Science”
Taught in DSC workshops and executive (ad-hoc) trainings
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Data Sciencce Center Barcelona Graduate School of Economics Ramón Trías Fargas, 25-27 08005 Barcelona, Spain.
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