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ML Observability Workshop Series

Virtual , United States

Taking a model from research to production is hard — and keeping it there is even harder! As more machine learning models are deployed into production, it’s imperative to have the right skillset to monitor, troubleshoot, and explain model performance. That’s why Arize is hosting an ML Observability Workshop Series to help data scientists and ML practitioners gain confidence taking their models from research to production.

Each week, we will cover a key area of ML Observability and practical applications. You will gain a hands-on understanding of how to identify where a model is underperforming, troubleshoot model and data issues, and how to proactively mitigate future degradations.

Upon completion of this series, you will receive a ML Observability Fundamentals acknowledgement for your new skills!

The Future of Data-Centric AI

Virtual , United States

A free virtual event to explore data-centric approaches that make AI practical. Hosted by Snorkel AI

Voices of ML Leaders

Virtual , United States

When it comes to aligning the data science team with the business, recruiting and retaining talents, and applying the most beneficial AI methodologies, AI leaders set up initiatives and are taking action. During this event, you will have the opportunity to connect and interact with your peers. This includes executives and leaders from enterprises that...

Ray Summit 2022

San Francisco, CA San Francisco, CA, United States