#Product

Gideon Mendels |

  Comet.ml allows you to automatically track your machine learning code, experiments, hyperparameters, and results to achieve reproducibilit...

#Product

Gideon Mendels |

Our experience hosting New York data scientists and researchers from academia and industry   Our speaker Melanie Weber, Columbia PhD candidate, explains how she and her team deve...

#Tutorials

Gideon Mendels |

In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) i...

#Tutorials

Gideon Mendels |

  Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the...

#Product

Gideon Mendels |

Tracking and saving your model results just got that much easier with Comet.ml   For many data scientists, Jupyter notebooks have become the tool of choice. Its ability ...

#Product

Gideon Mendels |

See how companies like Uber and ZocDoc use machine learning to improve key business metrics   Ramping up for the keynotes at Strata Data Conference in New York — ph...

#Product

Gideon Mendels |

Compare across your model iterations efficiently with rich visualizations to identify your champion model   At Comet.ml, we believe that machine learning should be highly iterative, ...

#Tutorials

Dhruv Nair |

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Def...

#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...

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