deep learning
Uncertainty for CTR Prediction: One Model to Clarify Them All
Yoel Zeldes and Inbar Naor | 21 Aug 2018 | Data Science
In the first post of the series we discussed three types of uncertainty that can affect your model Read More...
Recommender Systems: Exploring the Unknown Using Uncertainty
Yoel Zeldes and Inbar Naor | 14 Aug 2018 | Data Science
Now that we know what uncertainty types exist and learned some ways to model them, we can start Read More...
Neural Networks from a Bayesian Perspective
Yoel Zeldes and Inbar Naor | 06 Aug 2018 | Data Science
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users Read More...
Using Uncertainty to Interpret your Model
Yoel Zeldes and Inbar Naor | 30 Jul 2018 | Data Science
As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new challenges, including model Read More...
Using Word2Vec for Better Embeddings of Categorical Features
Inbar Naor | 25 Apr 2018 | Data Science
Back in 2012, when neural networks regained popularity, people were excited about the possibility of training models without Read More...
To Predict Article Performance, Use Machine Learning Models
Matt Meng | 17 Sep 2017 | Data Science
Introduction Newsrooms are under constant pressure to deliver the most up to date, relevant, and engaging information possible. Read More...
Deep Learning – from Prototype to Production
Erez Kashi | 30 Jul 2017 | Big Data
About 8 months ago my team and I were facing the challenge of building our first Deep Learning Read More...
More than one Graph – Code Reuse in TensorFlow
Jenia Gorokhovsky | 02 Jul 2017 | Big Data
Large production pipelines in TensorFlow are quite difficult to pull off. Training small models is easy, and we Read More...