neural networks

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...

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...

Predicting Probability Distributions Using Neural Networks

Shaked Zychlinski | 13 Nov 2018 | Data Science

Tags: data model, data science, distribution, machine learning, neural networks, probability, tutorial

If you’ve been following our tech blog lately, you might have noticed we’re using a special type of 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...