Data Science

Introducing Comet.ml’s Python API Client

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

Comet.ml cheat sheet: supercharge your machine learning experiment management

Comet.ml allows you to automatically track your machine learning code, experiments, hyperparameters, and results to achieve reproducibility, transparency, and more efficient iteration cycles. We...
Gideon Mendels
1 min read

A Year in Review: NYC AI & Machine Learning…

Our experience hosting New York data scientists and researchers from academia and industry 2018 has been an excellent year for machine learning breakthroughs and the...
Gideon Mendels
2 min read

Implementing ResNet with MXNET Gluon and Comet.ml for image…

In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) implemented in MXNet Gluon, and...
Gideon Mendels
9 min read

Real-time numbers recognition (MNIST) on an iPhone with CoreML…

Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the CoreML format to then...
Gideon Mendels
12 min read

Monitoring machine learning model results live from Jupyter notebooks

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....
Gideon Mendels
1 min read

Real-world examples of applied machine learning from AI Conference

See how companies like Uber and ZocDoc use machine learning to improve key business metrics The majority of buzz around machine learning and AI focuses...
Gideon Mendels
5 min read

Introducing Comet.ml Project Visualizations

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,...
Gideon Mendels
1 min read

Part II: Manual Feature Engineering techniques for the Kaggle…

Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Default Competition! This post is the second...
Dhruv Nair
6 min read

Podcast Take: In Context Episode 9 with StitchFix’s Chief…

The latest episode of the In Context podcast is a must-listen for anyone in the machine learning space. In Context’s host, Kathryn Hume from...
Gideon Mendels
3 min read
scroll to top