Advanced topics in machine learning

Education facts

Code: 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>

Entry requirements

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.

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.

• Advanced topics in machine learning

  University of Gothenburg

  Start date: 2 September 2024

  End date: 3 November 2024

  Pace of study: 50 %