Natural Computation Methods for Machine Learning

Education facts

Code: 1DL073

After the course you should be able to: * set up and solve typical natural computation problems * by implementation or with simulation tools, determine the applicability of different learning methods to different types of learning problems, i.e. know the strengths and weaknesses of the method * set a good representation of the data * recognise the typical effects of bad choices and determine how to improve the results * describe how and why machine learning and natural computation methods (such as deep learning and genetic algorithms) work.

Entry requirements

120 credits including 15 credits in mathematics and 60 credits in computer science/information systems, including 20 credits in programming/algorithms/data structures. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Natural Computation Methods for Machine Learning

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 6 June 2027

  Pace of study: 33 %