Data Science

Title to Image Search for Improved Thumbnail Selection

Gil Levi | 18 Sep 2018 | Data Science

Tags: data science, machine learning

Introduction One of the key creative aspects of an advertisement is choosing the image that will appear alongside Read More...

Uncertainty for CTR Prediction: One Model to Clarify Them All

Yoel Zeldes and Inbar Naor | 21 Aug 2018 | Data Science

Tags: deep learning, recommendation systems, uncertainty

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

Tags: deep learning, neural networks, uncertainty

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

Tags: deep learning, neural networks, uncertainty

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

Tags: deep learning, neural networks, uncertainty

As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new challenges, including model Read More...

The Hitchhiker’s Guide to Hyperparameter Tuning

Yoel Zeldes | 14 Jun 2018 | Data Science

Tags: algorithms, data, data science, hyperparameter tuning

Now that more than a year has passed since our first deep learning project emerged, we have had Read More...

Using Word2Vec for Better Embeddings of Categorical Features

Inbar Naor | 25 Apr 2018 | Data Science

Tags: algorithms, deep learning, prediction, word2vec

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

Tags: deep learning, Newsroom

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

Tags: deep learning, docker, Nvidia, python, tensorflow

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

Tags: deep learning, tensorflow, web development

Large production pipelines in TensorFlow are quite difficult to pull off. Training small models is easy, and we Read More...