Ashley Binford |

Current customers include Ancestry, General Electric, The National Institute of Health and Fortune 100 Companies NEW YORK, NY--Comet.ml, the industry-leading m...

Dhruv Nair |

Introduction Model training is arguably the most time consuming, and computationally demanding part of the Machine Learning pipeline. Depending on the complexity of your model, or search space, it ...

Ashley Binford |

NEW YORK, NY-- Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the indu...

Nikolas Laskaris |

Machine learning practitioners can now use PyTorch Lightning with Comet to speed up research cycles and build better models, faster. Machine learning practitioners can now use PyTorch Lightning, a popular de...

Nikolas Laskaris |

This article was written in collaboration with Tyler Folkman, Head of AI at Branded Entertainment Network. To read more of Tyler's writing, check out his Medium Blog. In 1973, at the height of the ...

Nikolas Laskaris |

“AI is the new electricity.” At least, that’s what Andrew Ng suggested at this year’s Amazon re:MARS co...

Nikolas Laskaris |

To view the code, training visualizations, and more information about the python example at the end of this post, visit th...

Dhruv Nair |

  Check out part 1 (here)and part 2 (here) of this series In the last part of our series on uncertainty estimation, we addressed the limitations of approaches like bootstrapp...

Dhruv Nair |

  You can check out part 1 of this series here In part 1 of this series, we discussed the sources of uncertainty in machine learning models, and techniques to quantify u...

Dhruv Nair |

  “We demand rigidly defined areas of doubt and uncertainty!” - Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why is uncertainty important? Let’s imag...

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