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• Quite old and some examples are outdated, but it gives a good overview of the field and the algorithms are very well explained.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.