Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Garrett Hoffman

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

9:00am–12:30pm Tuesday, 09/11/2018
Deep learning methods for natural language processing
Location: 1A 21/22 Level: Intermediate
Secondary topics:  Deep Learning, Text and Language processing and analysis
Garrett Hoffman (StockTwits)
Average rating: ****.
(4.75, 4 ratings)
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 and variants (LSTM, GRU), and convolutional neural networks. Read more.