Deep machine learning

Utbildningsfakta

Kod: DIT969

Beskrivning saknas i den publicerade källan.

Behörighet

To be eligible to the course, the student must have a Bachelor's degree. In particular, the student must have acquired the following knowledge: - 15 credits of courses in programming or equivalent, - a course including probability and statistics, such as DIT862 Statistical Methods for Data Science or MSG810 Mathematical Statistics and Discrete mathematics, - 5 credits of linear algebra or equivalent - 5 credits of calculus or equivalent, - a first course in machine learning, such as DIT866 Applied Machine Learning, DIT381 Algorithms for Machine Learning and Inference, or MSA220 Statistical Learning for Big Data Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Utbildningstillfällen

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

• Deep machine learning

  University of Gothenburg

  Startdatum: 31 augusti 2026

  Slutdatum: 1 november 2026

  Studietakt: 50 %