Entity Embedding Deep Dive
Entity Embedding Deep Dive
This video is a recap of our November 2018 Americas TWIML Online Meetup.
In this month’s community segment, we discuss Entity Embeddings, an emerging technique for applying deep learning to tabular data. It’s being used at a variety of companies including Instacart, Pinterest, Youtube, and has been the winning technique behind several Kaggle competitions. In our presentation segment, Mahesh Khatri joins us to cover several papers on “Entity Embedding Deep Dive.”
The following links are to the papers Mahesh mentioned in his presentation:
- Kaggle Competition 2016 – Rossman Stores Sales Predictions
- Artificial Neural Networks Applied to Taxi Destination Prediction (Yoshua Bengio’s team)
- Deep Neural Networks for YouTube Recommendations [PDF]
Topic: | Entity Embedding Deep Dive |
Presenter: | Mahesh Khatri |
Date: | Tuesday 13th November 2018 |
Time: | 17:00 PM US Pacific Time |