Deep Learning – from Prototype to Production
About 8 months ago my team and I were facing the challenge of building our ...
Data Science
39 Articles
Going Old-School: Designing Algorithms for Fast Weighted Sampling in Production
If you happen to write code for a living, there’s a pretty good chance you’ve ...
Deep Multi-Task Learning – 3 Lessons Learned
For the past year, my team and I have been working on a personalized user ...
ICLR 19 highlights (and all that Jazz)
A joint post with Ofri Mann We went to ICLR to present our work on ...
The Story of a Bad Train-Test Split
About a year ago we incorporated a new type of feature into one of our ...
Predicting Probability Distributions Using Neural Networks
If you’ve been following our tech blog lately, you might have noticed we’re using a ...
How to Engineer Your Way Out of Slow Models
So you just finished designing that great neural network architecture of yours. It has a ...
Using Uncertainty to Interpret your Model
As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new ...
Title to Image Search for Improved Thumbnail Selection
Introduction One of the key creative aspects of an advertisement is choosing the image that ...
Uncertainty for CTR Prediction: One Model to Clarify Them All
In the first post of the series we discussed three types of uncertainty that can ...
Recommender Systems: Exploring the Unknown Using Uncertainty
Now that we know what uncertainty types exist and learned some ways to model them, ...
Neural Networks from a Bayesian Perspective
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for ...