Recommended Reading

There is no mandatory literature for the course. You should be able to pass the course by just watching the lectures, but it can sometimes be good to read about a topic to get a deeper understanding.

There are some advised reading for each lecture to the following books, plus some additional online resources.

Programming Collective Intelligence

  • Seagaran, Toby (2007)
  • Can be found here.
  • Quite old and some examples are outdated, but it gives a good overview of the field and the algorithms are very well explained.

Mining of Massive Datasets

  • Leskovec, Jure & Rajaraman, Anand & Ullman, Jeffrey David (2014)
  • Available for free online here.
  • A very good book that explains concepts in an easy way with lots of examples.

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