Get to know the team behind the Enterprise AI Lab!
Our data scientists publish about their latest projects
(in and out of the Lab) in Data from the Trenches.
Making Neural Networks Smaller for Better Deployment
There is a clear trend in the data science and machine learning industry on training bigger and bigger models. These models achieve near-...
Jul 30, 2020 / Read More
Hunting for the Optimal AutoML Library
In the last few years a lot of research has been done into how to automate the process of building machine learning models. There is now ...
Jun 09, 2020 / Read More
A Primer on Data Drift
When a machine learning model is deployed in production, the main concern of data scientists is the model pertinence over time. Is the mo...
May 22, 2020 / Read More
Narrowing the Search: Which Hyperparameters Really Matter?
When performing hyperparameter optimization, we are really searching for the best model we can find within our time constraints. If we se...
May 07, 2020 / Read More
A (Slightly) Better Budget Allocation for Hyperband
Edit: We received an answer from the Ray Tune development team about this post, check it out at the end of the post or just search for “A...
Apr 30, 2020 / Read More