Julien Simon
Technical Evangelist, AWS

Julien Simon is a technical evangelist at AWS. Previously, Julien spent 10 years as a CTO and vice president of engineering at a number of top-tier web startups. He’s particularly interested in all things architecture, deployment, performance, scalability, and data. Julien frequently speaks at conferences and technical workshops, where he helps developers and enterprises bring their ideas to life thanks to the Amazon Web Services infrastructure.

Sessions

11:55–12:35 Thursday, 17 October 2019

Location: King's Suite - Sandringham

A pragmatic introduction to building NLP models

Models and Methods

Secondary topics: Data, Data Networks, Data Quality, Machine Learning, Machine Learning tools, Text, Language, and Speech

Julien Simon (AWS)

Average rating:

(4.86, 7 ratings)

Many natural language processing (NLP) tasks require each word in the input text to be mapped to a vector of real numbers. Julien Simon explores word vectors, why they’re so important, and which are the most popular algorithms to compute them (Word2Vec, GloVe, BERT). You'll get to see how to solve typical NLP problems through several demos by either computing embeddings or reusing pretrained ones. Read more.