Blog

#Product

Introducing Comet.ml’s new Query Builder

Gideon Mendels | August 3, 2018

Now you can easily find and organize your experiments with filtered views based on experiment metrics, metadata, and parameters Machine lea...

#Tutorials

Part I: Conducting Exploratory Data Analysis (EDA) for the Kaggle Home Credit Default Competition

Dhruv Nair | July 13, 2018

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

#Machine Learning

A Data Scientist’s Guide to Communicating Results

Gideon Mendels | July 10, 2018

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? ...

#Product

Real-time model performance visualizations with Comet.ml

Gideon Mendels | June 28, 2018

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 ma...

#Machine Learning

Deep Learning: Theory & Practice

Gideon Mendels | June 18, 2018

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 ...

#Tutorials

Using fastText and Comet.ml to classify relationships in Knowledge Graphs

Dhruv Nair | June 18, 2018

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

#Product

Comet.ml: supercharging your machine learning workflow

Gideon Mendels | May 18, 2018

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 ...

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