Gideon Mendels

  http://blogcometml.wordpress.com

   



15 Stories by Gideon Mendels

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...
0 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...
0 1 min read

A Year in Review: NYC AI & Machine Learning meetups

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...
0 2 min read

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

In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) implemented in MXNet Gluon, and...
0 9 min read

Real-time numbers recognition (MNIST) on an iPhone with CoreML from A to Z

Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the CoreML format to then...
0 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....
0 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...
0 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,...
0 1 min read

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

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...
0 3 min read

Building reliable machine learning models with cross-validation

Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training...
0 2 min read
scroll to top