Machine Learning of Natural Language processing

Starts on 01.10.2021

AI and Data Science

Interested?

More information
° n/a NL-EN

Ignite your skills in artificial intelligence for language technology

Description

Natural Language Processing is an integral component to applications of data science across the technological industry nowadays. Professionals in this domain, however, might struggle to keep up with the fast-paced developments in recent years. In particular the recent and impressive emergence of neural networks in machine learning as a go-to paradigm has rapidly altered the state of the art in artificial intelligence and challenges existing computational approaches to text.

This microcredential has been carved out as a balanced selection of contemporary modules from the MA in Digital Text Analysis that targets industry professionals who are interested in learning about modern machine learning and natural language processing. With an emphasis on project and team work, we develop practical applications on textual data, as well as solutions for the many issues that remain open in the field.

Target group and admission requirements

Professionals active in industry who wish to harness recent advances in AI and Deep Learning in the context of Natural Language Processing for Data Science. Prospective students must have demonstrable programming skills in Python.

Program

This microcredential is a targeted subset from the MA in Digital Text Analysis and singles a teaching track in natural language processing.

None of the modules overlap in time, allowing students to engage at a reasonable pace, over the course of the first and second semester.

Study load: 12 ECTS credits

Remarks


  • All courses extensively rely on weekly, hands-on homework assignments, ensuring the acquisition of new, practical insights on a regular basis. The homework takes the form of engaging assignments on real-world datasets that challenge the students to apply the theoretical concept introduced during the interactive class sessions.
  • The final evaluation of all three courses depends on project work, the goal and finality of which can be determined by the individual students, in close correspondence with the course teachers.
  • An attractive feature of the evaluation of the NLP course (in the 2nd semester) is that students will participate in an ongoing shared task in the field.

Course number:
n/a
Type:
Short- en long-term programmes
Area of interest:
AI and Data Science, Language en Literature
Language:
NL-EN
Academic year:
2021 - 2022
Starting date:
01.10.2021
Lecturers:
Walter Daelemans
Contact person:
walter.daelemans@uantwerpen.be
Location

UAntwerpen Stadscampus

More information

We use cookies to to give you the best possible user experience on our website. You can refuse the installation of cookies. By doing so some parts of this website will not work in an optimal way. Read more.

Your browser does not meet the minimum requirements to view this website. The browsers below are compatible. If you do not have one of these browsers, click on the icon to download the desired browser.