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Tackling MLOps Challenges in Computer Vision With Marcin Tuszyński

🎞️ · 09.05.2023 · 14:10:16 ··· Dienstag ⭐ 0 🎬 0 📺 neptune_ai
🎬 · 09.05.2023 · 14:10:16 ··· Dienstag
👓 · 03.07.2024 · 15:40:29 ··· MiTTwoch
On this episode of MLOps Live, we have Marcin Tuszyński as our guest. Marcin shares his experience and answers your questions about MLOps challenges in computer vision.

MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.

00:00 Introduction to MLOps Live
01:36 A little bit about Marcin's background
02:27 Is ReSpo.Vision focused on the entertainment side or the analytics side of football?
03:13 Could you tell us a little more about your role as Data Scientist and how your team functions?
04:09 What problems does ReSpo.Vision solve?
08:13 What are some of the biggest challenges you face in your team?
14:02 How do you deal with large data sets?
16:55 What are temporary models in the context of ReSpo.Vision?
22:33 What are some roadblocks specific to the production side of ReSpo?
24:44 Do you have any fully automated ML pipelines in production?
26:26 How do you plan for the reliability of your systems?
27:56 Are there any online infrastructure related problems that people should be worried about?

And more!

Learn more about Marcin Tuszyński:
Marcin's LinkedIn: https://buff.ly/3MNNLoP

Episode Resources:
ReSpo.Vision: https://buff.ly/3ylI8H0
Torch: https://buff.ly/3MLq3JY
Kedro: https://buff.ly/43cEhJ2


Follow us & stay updated:
► Linkedin: https://buff.ly/41gEjzd
► Twitter: https://buff.ly/3n2Duer
► MLOps Community: (#neptune-ai)
► Github: https://buff.ly/41leUo0

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