machine learning
Exploiting Multi-Categorical Features Using Deep Interest
Marina Gandlin | 04 Sep 2019 | Data Science
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
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
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
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
About a year ago we incorporated a new type of feature into one of our models used for Read More...
Predicting Probability Distributions Using Neural Networks
Shaked Zychlinski | 13 Nov 2018 | Data Science
If you’ve been following our tech blog lately, you might have noticed we’re using a special type of Read More...
Title to Image Search for Improved Thumbnail Selection
Gil Levi | 18 Sep 2018 | Data Science
Introduction One of the key creative aspects of an advertisement is choosing the image that will appear alongside Read More...
More than one Graph - Code Reuse in TensorFlow
5 Simple tips for boosting your Jenkins performance
Deep Learning - from Prototype to Production
Neural Networks from a Bayesian Perspective