November 17 Webinar: Building Experiment Tracking at Scale with Weights & Biases and Pachyderm
Building experiments doesn’t just end once the model is deployed. Teams need to monitor their models in production and use their findings to iterate further. Especially when dealing with tens to hundreds of models you need to monitor and automate at scale!
Created on November 5|Last edited on November 9
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How do you track your experiments? Have you ever found it hard to reproduce them and is sharing results with your colleagues and managers a headache?
Join us on November 17, 2022, at 10 am PT to learn all about experiment tracking at scale with Pachyderm and Weights & Biases.
What You Will Learn:
- What experiment tracking is and why it's important for data scientists?
- How reproducibility and lineage factor into retraining your model.
- How you can use tools like Pachyderm and Weights & Biases to iterate at scale.
Who You Will Hear:
Jimmy Whitaker, Chief Scientist of AI, Pachyderm
Jimmy Whitaker is the Chief Scientist of AI at Pachyderm. He focuses on creating a great data science experience and sharing best practices for how to use Pachyderm.
When he isn’t at work, he’s either playing music or trying to learn something new because “You suddenly understand something you’ve understood all your life, but in a new way.
Andrea Parker, Growth ML Engineer - Weights and Biases
Andrea is a Machine Learning engineer who has worked extensively with large-scale graphs. She has a degree in Information Retrieval from the University of Michigan School of Information and has worked in the industry for over a decade.
Andrea is passionate about data-driven problem-solving and enjoys working on NLP and IR challenges across varied domains: health data, networks/linked data, and more.
Count me in! Where do I get my ticket?
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Tags: Articles, Intermediate
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