Tips and Tricks
The Hitchhiker’s Guide to Hyperparameter Tuning
Yoel Zeldes | 14 Jun 2018 | Data Science
Now that more than a year has passed since our first deep learning project emerged, we have had Read More...
5 Simple tips for boosting your Jenkins performance
Tidhar Klein Orbach | 30 May 2018 | Tips and Tricks
Do you know that feeling when you’ve finished working on a feature, pushed the code, but then your 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...
How Re2 Shattered My Bottleneck
Ohad Edelstein | 13 Mar 2018 | Tips and Tricks
One pleasant morning I got to work, thinking this day couldn’t get any better. But as Murphy would Read More...
DIY: Engineering Your Company Culture
Amir Keren | 15 Feb 2018 | Javascript
This is a tale of heroism, of overcoming obstacles and hardships. This is a tale of ingenuity, of Read More...
Calculating Git Version
Yuri Goikhman | 26 Dec 2017 | System
Hello Git user. In this blog post I will discuss a technique for a unique version calculation for Read More...
Optimizing a Homepage Widget with AB Testing
Noa Bar Or | 15 Nov 2017 | Tips and Tricks
As part of the optimization team at Taboola, we are constantly working with publishers and conducting AB tests, Read More...
Scaling Out Jenkins Based CI with Docker and Nomad
Anton Weiss | 18 Oct 2017 | System
The existing CI processes in Taboola are quite demanding – a full product build includes 150 maven modules Read More...
Choosing a synthetic monitoring solution that will not fail you when you need it – based on a true story.
Ariel Pisetzky | 18 Jun 2017 | System
Synthetic monitoring is something that we all do. It’s almost something that you don’t think about. You set Read More...
More than one Graph - Code Reuse in TensorFlow
Deep Learning - from Prototype to Production
Neural Networks from a Bayesian Perspective
Using Uncertainty to Interpret your Model