Natural Computation Methods for Machine Learning

Utbildningsfakta

Kod: 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.

Behörighet

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.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Natural Computation Methods for Machine Learning

  Uppsala University

  Uppsala

  Startdatum: 18 januari 2027

  Slutdatum: 6 juni 2027

  Studietakt: 33 %