Advanced topics in machine learning

Utbildningsfakta

Kod: DIT471

<p><ul> <li>Theoretical and computationals aspects of machine learning. </li> <li>Advanced deep learning (Deep Neural Network) models. </li> <li>Sequential decision making paradigms such as active learning/online learning/reinforcement learning.</li> </ul></p>

Behörighet

To be eligible for the course the student must have successfully completed courses in: 7.5 credits of programming (Python experience desirable but not absolutely required) 7.5 credits of a data structures or basic algorithm course, or the course DIT374 7.5 credits of basic probability and statistics 7.5 credits of calculus 7.5 credits of linear algebra 7.5 credits of a standard basic course in machine learning (for example DIT381, MSA220 or DIT866) Applicants must prove knowledge of English: English 6/English B 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.

• Advanced topics in machine learning

  University of Gothenburg

  Startdatum: 2 september 2024

  Slutdatum: 3 november 2024

  Studietakt: 50 %