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.
Prerequisites and selection
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.
English 6 or equivalent is also required.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
