Machine learning for statistical NLP: advanced
About
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.
Entry requirements
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.
Application
Do you want to apply for exchange studies at the University of Gothenburg?