References Help Center Learn more.

The material is largely self-contained in the video lectures and most of you should be fine with just that content.

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Much of the material is also covered of my book published in late 2013, albeit at a 'popular science' level rather than the slightly more technical perspective covered in the course:

The Intelligent Web: Search, Smart Algorithms and Big Data by Gautam Shroff (Oxford University Press, UK 2013)

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Those of you wanting to dig even deeper can consult the following reference books that are closely related to some of the material in the course:

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Mining Massive Datasets by J.D. Ullman and A. Rajaraman (Cambridge University Press, UK 2012)

[text available online from Stanford]

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Introduction to Information Retrieval by Christopher Manning, Prabhakar Raghavan and Hinrich Schutze (Cambridge University Press, UK 2008)

[text available online from Stanford]

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Enterprise Cloud Computing by Gautam Shroff (Cambridge University Press, UK 2010)

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Lecture Slides:

The lecture slides for all units (except for guest lectures and Unit 4B) are available for download here: Lecture Slides.

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Programming Resources

Please ensure that you have access to a system on which Python 2.7.x runs. See python.org.

Some lectures refer to octo.py and mincemeat.py, each of which is a lightweight map-reduce implementation written in Python. These are available from http://code.google.com/p/octopy/ and mincemeat.py-zipfilerespectively.

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