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All sorted

Machine learning is a system where rather than a computer programmer deciding the best way to sort, organise, classify or use information, the computer program develops its own set of instructions (algorithm) based on information that users feed it.  Scientists at the University of Oxford are working on ways to improve the speed and accuracy of these algorithms.

In this lesson students will develop their own rules/algorithms for sorting objects and also look at the effect that increasing the size of the data set has.  It is also possible to use the second part of this lesson to look at creating and using classification keys.


Learning Outcomes

  • Students can explain why it is important to use large data sets for machine learning

  • Students can devise and use algorithms to sort objects

  • Students realise outcome depends on data fed to it


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