Applied Natural Language Processing in Engineering Part 2

This course is best suited for software engineers, data scientists, and graduate students in computer science or engineering fields who wish to develop expertise in building and deploying natural language processing systems to solve real-world language understanding challenges. You will master core NLP tasks such as Part-of-Speech tagging, Named Entity Recognition, sentiment analysis, and Neural Machine Translation while implementing various neural architectures from Recurrent Neural Networks and bidirectional RNNs to Conditional Random Fields and state-of-the-art transformer models. The cour…