AI Practitioner: Practical BERT Examples

Bidirectional Encoder Representations from Transformers (BERT) can be implemented in various ways and it is up to AI practitioners to decide which one is the best for a particular product. It is also essential to recognize all of BERTs capabilities and its full potential in NLP. In this course youll outline the theoretical approaches to several BERT use cases before illustrating how to implement each of them. In full youll learn how to use BERT for search engine optimization sentence prediction sentence classification token classification and question answering implementing a simple example for each use case discussed. Lastly youll examine some fundamental guidelines for using BERT for content optimization.