#Tutorials

Dhruv Nair |

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Default Competition!   This post is the second...

#Machine Learning

#Product

Gideon Mendels |

  The latest episode of the In Context podcast is a must-listen for anyone in the machine learning space...

#Tutorials

Gideon Mendels |

  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/tes...

#Product

Gideon Mendels |

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 t...

#Tutorials

Dhruv Nair |

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

#Machine Learning

Gideon Mendels |

  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

Gideon Mendels |

  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

Gideon Mendels |

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

Dhruv Nair |

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

#Product

Gideon Mendels |

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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