Snorkel: A System for Fast Training Data Creation with Alex Ratner – TWiML Talk #270

Today we’re joined by Alex Ratner, Ph.D. student at Stanford. In our conversation, we discuss:

• Snorkel, the open source framework that is the successor to Stanford’s Deep Dive project.

• How Snorkel is used as a framework for creating training data with weak supervised learning techniques.

• Multiple use cases for Snorkel, including how it is used by large companies like Google.

The complete show notes can be found at twimlai.com/talk/270.

Follow along with the entire AI Platforms Vol 2 series at twimlai.com/aiplatforms2.

Thanks to SigOpt for their continued support of the podcast, and their sponsorship of this episode! Check out their machine learning experimentation and optimization suite, and get a free trial at twimlai.com/sigopt.

Finally, visit twimlai.com/3bday to help us celebrate TWiML’s 3rd Birthday!

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