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.
Who for?
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.
Admission requirements
Prospective students must have demonstrable programming skills in Python.
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