deep learning

Exploiting Multi-Categorical Features Using Deep Interest

Marina Gandlin | 04 Sep 2019 | Data Science

Tags: algorithms, big data, data, data model, data science, deep learning, machine learning, neural networks

At Taboola, our goal is to predict whether users will click on the ads we present to them. Read More...

Preparing for the Unexpected

Yoel Zeldes | 27 Jan 2019 | Machine Learning

Tags: deep learning, machine learning

Some of the problems we tackle using machine learning involve categorical features that represent real world objects, such Read More...

Think your Data Different

Zohar Komarovsky and Yoel Zeldes | 21 Jan 2019 | Machine Learning

Tags: data science, deep learning, machine learning, neural networks, node2vec, word2vec

In the last couple of years deep learning (DL) has become a main enabler for applications in many Read More...

Deep Multi-Task Learning – 3 Lessons Learned

Zohar Komarovsky | 06 Jan 2019 | Data Science

Tags: data science, deep learning, machine learning, multi-task learning, neural networks, tensorflow

For the past year, my team and I have been working on a personalized user experience in the Read More...

The Story of a Bad Train-Test Split

Yoel Zeldes | 16 Dec 2018 | Data Science

Tags: deep learning, machine learning

About a year ago we incorporated a new type of feature into one of our models used for Read More...

How to Engineer Your Way Out of Slow Models

Yoel Zeldes | 28 Oct 2018 | Data Science

Tags: architecture, deep learning, performance

So you just finished designing that great neural network architecture of yours. It has a blazing number of Read More...

Zooming Past the Competition

Yoel Zeldes and Amir Keren | 10 Oct 2018 | Data Science

Tags: computer vision, deep learning, diy, web development

Imagine you’re walking down the street and you see a nice car you’re thinking of buying. Just by 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...

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...