Sep 23–26, 2019

Garrett Hoffman
Director, Data Science, StockTwits

Garrett Hoffman is a director of data science at StockTwits, where he leads efforts to use data science and machine learning to understand social dynamics and develop research and discovery tools that are used by a network of over one million investors. Garrett has a technical background in math and computer science but gets most excited about approaching data problems from a people-first perspective—using what we know or can learn about complex systems to drive optimal decisions, experiences, and outcomes.

Sessions

1:30pm–5:00pm Tuesday, September 24, 2019

Location: 1A 12/14

Deep learning methods for natural language processing

Data Science, Machine Learning, & AI

Secondary topics: Deep Learning, Financial Services, Text and Language processing and analysis

Garrett Hoffman (StockTwits)

Garrett Hoffman walks you through deep learning methods for natural language processing and natural language understanding tasks, using a live example in Python and TensorFlow with StockTwits data. Methods include Word2Vec, recurrent neural networks (RNNs) and variants (long short-term memory [LSTM] and gated recurrent unit [GRU]), and convolutional neural networks. Read more.