+DataScience (+DS) is a new initiative at Duke providing online training modules and in-person learning experiences to help people in all disciplines in the Duke community learn more about Data Science. Before registering for any of the in-person workshops, you should complete one or more of the four pre-requisite online modules. 

Natural language processing (NLP) is a field focused on developing automated methods for analyzing text, and also for computer-driven text generation (synthesis, for example in translation). Neural networks have recently become the state-of-the-art method for NLP. In this session several neural NLP models are introduced, from relatively simple models, to advanced models based on the convolutional neural network and on recurrent neural networks. The concept of word embeddings is introduced, and it is also explained that often excellent NLP results may be achieved with simple neural models.

Instructor: Lawrence Carin

Location: Fitzpatrick Building, Schiciano Auditorium Side B

Prerequisite Module(s): Module 1: Introduction to Machine Learning, Module 2: Basics of Model Learning, Module 3: Image Analysis and the Convolutional Neural Network, Module 4: Introduction to Natural Language Processing

Register: https://training.oit.duke.edu/enroll/common/show/21/172630