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Délia Boino
Submitted by dboino on 23 March 2021
Intended learning outcomes

Students who successfully complete this course unit will be able to:

  1. Characterize the challenges of processing and analysing large volumes of data; 
  2. List programming models and frameworks for data processing;
  3. Describe and analyse dimensionality reduction techniques to data sets;
  4. Demonstrate and analyse sampling techniques;
  5. Demonstrate and analyse techniques to manipulate streaming data;
  6. Demonstrate and analyse large-scale data mining algorithms;
  7. Explain existing solutions for data mining in different domains;
  8. Write technical reports and prepare technical presentations with comparative and detailed analysis of different approaches for a given problem.

 

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