Snorkel Flow Hands-on Workshop
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Join our instructor-led virtual workshop where you will get hands-on experience using Snorkel Flow to build AI applications rapidly using a data-centric AI workflow, weak supervision, and programmatic labeling.
In this 90-minute workshop, experts from Snorkel will introduce you to Snorkel Flow and walk you through an end-to-end process of data labeling, model training, and refinement.
This workshop is hosted virtually and is free to attend.
Who should attend?
Data scientists, machine learning, and software engineers within Global 2000 enterprises and government organizations that are:
- looking to automate labeling and accelerate the development of NLP applications
- working with private data that cannot be shipped to external labeling services
- working with data that requires subject matter experts to label
- Get hands-on access to the Snorkel Flow platform
- Learn how programmatic labeling and weak supervision work
- Generate large labeled datasets quickly by writing labeling functions
- Train ML models in-platform for text and document classification problems
- Iterate on training data with instant error analysis and model-guided feedback
- Try novel techniques such as data-centric UI, boosted active learning, search-based and embeddings-based programmatic labeling
Presented by
Mark Ebersole
Training and Documentation Lead
Snorkel AI
About the presenter
Mark Ebersole
As Training Lead at Snorkel AI, Mark Ebersole educates machine learning practitioners on how to accelerate AI application development using the Snorkel Flow platform. With more than twenty years of experience in systems programming, accelerated computing, and machine learning, Mark has recently focused his career on teaching others how to apply accelerated computing and machine learning tools to solve challenging problems. Before joining Snorkel AI, he worked at NVIDIA, where he started the Deep Learning Insititute, managed the software side of new chip development, and wrote GPU diagnostic software. Mark holds a BS degree in math and computer science from St. Cloud State University.
