Interpreting and generating language is a crucial component of any artificial intelligence (AI) project, and the application of deep learning approaches, such as natural language processing (NLP), has led to many breakthroughs in the field. But the complexity of some NLP tasks requires building a custom AI solution, and this type of project is among the most challenging today within the data science discipline. In this session, we will cover the key aspects of implementing a natural language processing project within your organization and reveal the key steps necessary for making it a success. Primarily, we will focus on how to use an iterative process that can pave the way towards building a successful product.
Senior Data Scientist and Technical Leader
11:45AM - Day 1