There’s a lot of buzz around machine learning in the life sciences, but let’s be honest—the reality doesn’t quite match the hype.
Over 80% of computational biologists and bioinformaticians admitted they aren’t using ML at all. Surprising? Maybe not.
This gap between expectation and reality is a big issue. But we believe it’s one that can be fixed.
Join us for a webinar introducing Code Ocean 3.0: Models. This new suite of features lets your team develop, train, track and register machine learning models in a unified, traceable environment with complete model provenance.
We have discussed:
- Why there’s such a huge gap between hype and adoption in ML
- Your options to reduce this gap and increase adoption
- The “missing link” in most ML workflows
- An overview of our new ML features
- A live demo from our VP of Product, Daniel Koster
- Audience Q&A
