#Machine Learning

Nikolas Laskaris |

“AI is the new electricity.” At least, that’s what Andrew Ng suggested at this year’s Amazon re:MARS conference. In his keynote address, Ng discussed th...

#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...

#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...

#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...

#Machine Learning

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...

#Machine Learning

Gideon Mendels |

  Part 1 of a two part series The weight initialization technique you choose for your neural network can de...

#Machine Learning

#Product

Gideon Mendels |

  Common issues, challenges, and solutions For those that missed our webinar last week, you can access the recording to learn: Opportunities to improve machine learnin...

#Machine Learning

#Product

Ashley Binford |

  Watch recording Despite significant progress in the deep learning space, implementing scalable machine learning pipelines still presents critical challenges. Even the best teams struggle w...

#Machine Learning

Gideon Mendels |

  Figure from Variational Sparse Coding Paper. Full paper here Interested in learning more about the Reproducibility Challenge? Read our kick-off piece here The third...

#Machine Learning

Dhruv Nair |

  R2D2 Meta-Learning Method. Full paper here Interview by Cecelia Shao The ...

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