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A Simple ML Monitoring Blueprint

Posted Dec 14, 2022 | Views 138
# ML Monitoring Blueprint
# ML Stacks
# MLOps Platform
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SPEAKER
Lina Weichbrodt
Lina Weichbrodt
Lina Weichbrodt
Freelance Machine Learning Development + Consulting @ Taktile

Lina is a pragmatic freelancer and machine learning consultant that likes to solve business problems end-to-end and make machine learning or a simple, fast heuristic work in the real world.

In her spare time, Lina likes to exchange with other people on how they can implement best practices in machine learning, talk to her at the Machine Learning Ops Slack: shorturl.at/swxIN.

+ Read More

Lina is a pragmatic freelancer and machine learning consultant that likes to solve business problems end-to-end and make machine learning or a simple, fast heuristic work in the real world.

In her spare time, Lina likes to exchange with other people on how they can implement best practices in machine learning, talk to her at the Machine Learning Ops Slack: shorturl.at/swxIN.

+ Read More
SUMMARY

Traditional software monitoring best practices are not enough to detect problems with machine learning stacks. How can you detect issues and be alerted in real-time? This talk will give you a practical guide on how to do machine learning monitoring: which metrics should you implement and in which order? Can you use your team’s existing monitoring and dashboard tools, or do you need an MLOps Platform?

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