Osnabrück University

Research Unit Data Science

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The Osnabrück University offers every Semester a wide variety of courses in the field of Data Science. The specific orientation and focus of the course is in the hands of the responsible lecturer and of course also depends on the degree programme for which it is offered.

For example, the courses offered by Cognitive Science, Computer Science, Econometrics, Psychology, Social Research and working groups in the field of Data Science are generally more application-oriented, while the courses offered at the Institute of Mathematics tend to have a more theoretical focus.

Current term

Deep learning for natural language processing

8.3470

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Beschreibung

Natural language processing (NLP) is the subfield of artificial intelligence that is concerned with making machines able to understand, process and use natural language. Because people communicate almost everything in language -- emails, text messages, language translation, virtual assistants, etc. -- NLP applications are everywhere. However, NLP is also hard: the ambiguities and noise inherent to human communication make traditional symbolic techniques frequently ineffective for representing and analysing language data. Recently, deep learning (or neural network) approaches have achieved a number of remarkable successes in NLP, leading to great commercial and academic interest in the field.
In this course, you will gain a thorough understanding of modern neural network algorithms for NLP. Core techniques will not be treated as black boxes. On the contrary, you will get an in-depth understanding of what’s happening inside. To succeed in that, we expect your familiarity with the basics of linear algebra, calculus and probability theory. Through lectures, assignments and mini-projects, you will learn the necessary skills to design, implement, and understand your own neural network models. The course will be taught using PyTorch.

Weitere Angaben

Ort: 93/E31
Zeiten: Mo. 14:00 - 16:00 (wöchentlich), Di. 10:00 - 12:00 (wöchentlich)
Erster Termin: Montag, 24.10.2022 14:00 - 16:00, Ort: 93/E31
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Bachelor-Programm
  • Cognitive Science > Master-Programm
  • Cognitive Science > Promotionsprogramm
  • Data Science

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