Blog

  Photo by Samuel Zeller on Unsplash Note: this article originally appeared on Oscar Chang’s website at https://crazyoscarchang.github.io/2019/02/16/seven-myths-in-machine-learning-r...

  Note: this article originally appeared on Raúl Gómez’s website at https://gombru.gith...

  Programmatically access your machine learning system of record Accessing your model weights, metrics, hyperparameters, images, and other workflow artifacts should be easy for 10...

  Comet.ml allows you to automatically track your machine learning code, experiments, hyperparame...

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...

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

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

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 ...

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...