ML Tools for Humans


Machine learning in the real world comes with a slew of operational challenges. How do we monitor model training? How do we make records of how our data was preprocessed? How do we know what the predictions from that model actually look like? To answer these seemingly simple questions, many practitioners have had to build and maintain custom software systems. At Weights & Biases we are building a standard kit of developer tools for ML practitioners, making it easy to track and version your models and datasets, optimize model hyperparameters, visualize model performance and predictions, and more. In this session I will be doing a live demonstration of how a few lines of code can make your machine learning workflows dramatically more observable, reproducible, and scalable.


Ben is a machine learning solutions consultant with W&B. He trains our customers to use W&B and works with them to improve their machine learning workflow. Prior to joining W&B he was training models and developing ml infrastructure for Samsung Research.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google