[Webinar] Save your Machine Learning Model from Degradation with Data Logging

You can join the workshop with this Zoom meeting link:

https://us02web.zoom.us/meeting/register/tZUqc-GhrDspHdL2auKeyUpVsF0HoxQ975a5

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Description:

The day the Machine Learning (ML) application is deployed to production and begins facing the real world is the best and the worst day in the life of the model builder. Debugging, troubleshooting & monitoring takes over the majority of their day, leaving little time for model building. In DevOps, software operations are taken to a level of art. Sophisticated tools enable engineers to quickly identify and resolve issues, continuously improving software robustness. In the ML world, operations are still largely a manual process that involves Jupyter notebooks and shell scripts. One of the cornerstones of the DevOps toolchain is logging, it’s the foundation of testing and monitoring tools. What does logging look like in an ML system?

In this talk, we will show you how to enable data logging for an AI application. We will discuss how something so simple enables testing, monitoring and debugging of the entire AI pipeline. We will dive deeper into key properties of a logging library that can handle TBs of data, run with a constraint memory footprint and produce statistically accurate log profiles of structured and unstructured data. Attendees will leave the talk equipped with best practices to supercharge MLOps in their team.

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Speaker: Danny D. Leybzon, MLOps Architect @ WhyLabs

Danny D. Leybzon has worn many hats, all of them related to data. He studied computational statistics at UCLA, before first becoming an analyst and then a product manager at a big data platform named Qubole. Since then, he has worked to evangelize machine learning best practices, talking on subjects such as distributed deep learning, productionizing machine learning models, and automated machine learning. When Danny's not researching, practicing, or talking about data science, he's usually doing one of his numerous outside hobbies: rock climbing, backcountry backpacking, skiing, etc.

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Sponsorship: Manning Publications

This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.