CodamX - How transfer learning changed the field of NLP

Natural language processing is a field of AI that helps computers understand, interpret and manipulate human language. The field of NLP has progressed a lot in recent years. Whereas in the past mainly statistical methods and machine learning models were used, with the introduction of word embeddings the use of deep learning has gained popularity and generally increased performance. This is especially due to transfer learning, a deep learning technique where a machine uses the knowledge it learned in previous tasks to solve similar or new problems. Transfer learning has become a crucial part of computer vision and is currently taking over the field of natural language processing.

Inez Wesing started working as a Data Engineer at Accenture Applied Intelligence after graduating in the field of NLP. With a background in mathematics Inez enjoys working on challenging problems in different domains. As a Data Engineer she likes to work with large data sources and combine these by creating end-to-end solutions.

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