Deep learning’s effectiveness is often attributed to the ability of neural networks to learn rich representations of data.
Garrett Hoffman is a Senior Data Scientist 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.
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
How to build a multilayered LSTM network to infer stock market sentiment from social conversation using TensorFlow.