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S2 E07: Lina Weichbrodt: AI Post Mortem
In this episode, Lina Weichbrodt discusses AI Post Mortems and shares her favorite stories regarding machine learning damage control. Lina Weichbrodt is an experienced ML engineer. Having built her career at Zalando and...
About This Episode
S2 E07: Lina Weichbrodt: AI Post Mortem is an episode from Inference: AI business podcast by Silo AI by Silo AI. In this episode, Lina Weichbrodt discusses AI Post Mortems and shares her favorite stories regarding machine learning damage co...
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This episode belongs to Inference: AI business podcast by Silo AI.
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Episode Details
Published Sep 19, 2022, 00:18:23 long, audio available.
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Questions About This Episode
What is S2 E07: Lina Weichbrodt: AI Post Mortem about?
In this episode, Lina Weichbrodt discusses AI Post Mortems and shares her favorite stories regarding machine learning damage control. Lina Weichbrodt is an experienced ML engineer. Having built her career at Zalando and Deutsche Kreditbank, she has developed a specialty for debugging and understanding performance risks of large-scale, deployed systems. Catch Lina’s recap on debugging near-invisible edge cases, customer preference inclusion , and her takeaways for ML debugging and monitoring ops.
Where can I listen to S2 E07: Lina Weichbrodt: AI Post Mortem?
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Which podcast is S2 E07: Lina Weichbrodt: AI Post Mortem from?
S2 E07: Lina Weichbrodt: AI Post Mortem is an episode from Inference: AI business podcast by Silo AI by Silo AI.
How long is this episode?
This episode is 00:18:23 long.
When was this episode published?
This episode was published on Sep 19, 2022.
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Are there related episodes from Inference: AI business podcast by Silo AI?
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Where can I listen to S2 E07: Lina Weichbrodt: AI Post Mortem?
You can listen to S2 E07: Lina Weichbrodt: AI Post Mortem on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
S2 E07: Lina Weichbrodt: AI Post Mortem is from Inference: AI business podcast by Silo AI by Silo AI.
What are the episode details?
Published Sep 19, 2022 and 00:18:23 long