Distributed Machine Learning

Introduction to distributed computing using Spark

Introduction to distributed computing using Spark

Duration

5 to 10 h

Syllabus

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

Prerequisites

“Foundations of Data Science”

Credential

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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