Natural Computation Methods for Machine Learning

10 credits

Course, Master's level, 1DL073

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English For exchange students

About the course

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.

No reading list found.

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