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“The important thing is not to stop questioning; curiosity has its own reason for existing.” – Albert Einstein

Welcome to Week 5

Congratulations for staying with us till the very last week.

In week 5 we will introduce you two basic method from supervised statistical learning methods. You will:

  • understand the motivation underlying linear regression and classification;
  • acquire deeper understanding of linear regression and linear discriminant analysis;
  • understand the computational challenges related to computing parameters of linear regression models;
  • understand the computational challenges related to computing parameters and evaluation of linear discriminant analysis;
  • learn how to compute parameters of linear regression models over big data using map-reduce and RHadoop;
  • learn how to compute parameters of linear discriminant analysis over big data using map-reduce and RHadoop;

We prepared ‘‘plug-and-play’’ examples that will help you to experiment the code and get very familiar with map-reduce and RHadoop.

We wish you lots of joy in mastering new topics.

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This article is from the free online course:

Managing Big Data with R and Hadoop

Partnership for Advanced Computing in Europe (PRACE)