Predicting Probability Distributions Using Neural Networks
If you’ve been following our tech blog lately, you might have noticed we’re using a ...
Data & Analytics
59 Articles
How to Engineer Your Way Out of Slow Models
So you just finished designing that great neural network architecture of yours. It has a ...
How I Resolved Delays in Kafka Messages by Prioritizing Kafka Topics
As a team member in the Scale Performance Data group of Taboola’s R&D, I had ...
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 ...
The Hitchhiker’s Guide to Hyperparameter Tuning
Now that more than a year has passed since our first deep learning project emerged, ...
Using Word2Vec for Better Embeddings of Categorical Features
Back in 2012, when neural networks regained popularity, people were excited about the possibility of ...
More than one Graph – Code Reuse in TensorFlow
Large production pipelines in TensorFlow are quite difficult to pull off. Training small models is ...