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Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training set and train/test on different...

Now you can easily find and organize your experiments with filtered views based on experiment metrics, metadata, and parameters   Machine learning teams often work with many, many models and their ite...

Follow along as the Comet.ml team competes to win the Kaggle Home Credit Default Competitionâ...

So your model is finally done running, you’ve tweaked and optimized all of the hyperparameters you could to obtain the best results, and you’re ready to present your findings. Now what? One of the ...

At Comet.ml, we strive to help data scientists and machine learning engineers speed up the development and productionisation of their machine learning models. A key part of the machine learning wor...

This post by Yoel Zeldes is originally from his blog Another Datum and was reposted with his permission. Yoel is an algorithm engineer at Taboola.   Last week I had the opportunity to attend at ...

TLDR: In this post, we will examine how a simple model, fastText, learns to represent entities in a subset of the FB15K kn...

I’m very excited to announce that I’ve joined Comet.ml as Product Lead! After graduation, I became a product manager for Watson Studio, a powerful end to end machine learning platform. This ...