Machine learning for statistical NLP: advanced
Om utbildningen
In this course, students will get hands-on experience in machine learning for language technology applications, including multimodal applications. This course will cover neural networks and related contemporary techniques and concepts. Students will improve their machine learning skills by developing simple NLP applications in widely-used programming frameworks and get practice in making and implementing design choices independently.
This course is open to
Exchange students at the Faculty of Humanities and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
Förkunskapskrav
Admission to the course requires a passed result in each of the following:
- programming, 7.5 hec, and
- machine learning, 7.5 hec, and
- introductory natural language processing or computational linguistics, 7.5 hec.
Equivalent skills can also result in admission to the course.
English 6 or equivalent is also required.
Application
Do you want to apply for exchange studies at the University of Gothenburg?