“Life is like riding a bicycle. To keep your balance you must keep moving.” – Albert Einstein

Welcome to Week 4

Congratulations for staying with us. In week 4 we will introduce basic statistical learning methods. You will:

  • understand differences between supervised and unsupervised learning;
  • learn which are important examples of supervised and unsupervised learning methods;
  • acquire deeper understanding of clustering analysis;
  • learn how to perform non-hierarchical clustering using K-means algorithm;
  • learn how to implement K-means 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)