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! 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 May 10, at 1 PM AEST to learn all about experiment tracking at scale with Pachyderm and Weights & Biases. W&B introduction and product walkthrough (talk will touch on: experiment tracking, W&B Tables, Sweeps, Artifacts, Dashboards/Reports, Integrations), followed by a Colab classification competition in Kaggle with swag for top submissions
Speaker Bio
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 been working 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.
More Details
- When: Wed 10 May 2023, at 1:00 pm (GMT+10)
- Speaker: Andrea Parker, Growth ML Engineer (Weights & Biases)
- Host: Dr Yadan Luo
- Zoom: https://uqz.zoom.us/j/82896549343
No.23-10 SEINE: SEgment-based Indexing for NEural Information Retrieval