#Integrations

#Machine Learning

Ashley Binford |

NEW YORK, NY-- Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the industry-leading meta machine learning experimentatio...

#Integrations

#Machine Learning

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...

#Machine Learning

#Productivity

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 ...

#Machine Learning

Nikolas Laskaris |

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

#Webinars

Nikolas Laskaris |

Running machine learning initiatives is difficult. Why? It is not possible for data scientists and teams to manage reproducibility, loss of IP, visibility and tracking with existing workflows. I...

#Machine Learning

#Tutorials

Nikolas Laskaris |

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

#Academic Research

Gideon Mendels |

Authors: Ernesto Evgeniy Sanches Shayda (esanches@stanford.edu), Ilkyu Lee (lqlee@stanford.ed...

#Machine Learning

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...

#Academic Research

Gideon Mendels |

Authors: Rifath Rashid (rifath@stanford.edu) and A...

#Machine Learning

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...

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