ML Platform Podcast

ML Platform Podcast

By neptune.aiTechnology
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ML Platform Podcast episodes

  • Setting Up MLOps at a Healthcare Startup with Vishnu Rachakonda
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Vishnu Rachakonda:
    • Vishnu's LinkedIn

    Episode Resources:
    • Vishnu's Publication
    • firsthand's Website

    If you enjoyed this episode then please either:
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    52 min
  • Intersecting DevOps With the ML Lifecycle with Shirsha Ray Chaudhuri
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Shirsha Ray Chaudhuri:
    • Shirsha's LinkedIn

    Episode Resources:
    • Shirsha's Publication
    • TR Labs' Website

    If you enjoyed this episode then please either:
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    50 min
  • Writing Clean, Production-Level ML Code with Laszlo Sragner
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Laszlo Sragner:
    • Laszlo's LinkedIn
    • Laszlo's Twitter

    Episode Resources:
    • Laszlo’s Newsletter
    • Hypergolic's Website
    • Refactoring the Titanic

    If you enjoyed this episode then please either:
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    51 min
  • Differences Between Shipping Classic Software and Operating ML Models with a Lead MLOps Engineer at TMNL Simon Stiebellehner, and neptune.ai CEO Piotr Niedzwiedz
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Simon Stiebellehner:
    • Simon’s LinkedIn
    • Piotr's LinkedIn

    Episode Resources:
    • TMNL's Website
    • neptune.ai's Website

    If you enjoyed this episode then please either:
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    1 hr 3 min
  • Solving the Model Serving Component of the MLOps Stack with Chaoyu Yang
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Chaoyu Yang:
    • Chaoyu’s LinkedIn
    • Chaoyu’s Twitter

    Episode Resources:
    • BentoML’s Website
    • BentoML’s Github

    If you enjoyed this episode then please either:
    • Subscribe, rate, and review on Apple Podcasts
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    55 min
  • How early-stage startups and small teams tackle MLOps with Duarte Carmo
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Duarte Carmo:
    • Duarte’s LinkedIn
    • Duarte’s Twitter

    Episode Resources:
    • Duarte’s Website
    • Amplemarket Website

    If you enjoyed this episode then please either:
    • Subscribe, rate, and review on Apple Podcasts
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    55 min
  • AutoML and MLOps with Adam Becker
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Amber Roberts:
    • Adam’s LinkedIn
    • Adam’s Twitter

    Episode Resources:
    • Adam’s Medium
    • Telepath.io Website

    If you enjoyed this episode then please either:
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    54 min
  • Embracing Responsible AI for ML Models in Production with Amber Roberts
    Subscribe to our YouTube channel to watch this episode!

    Learn more about Amber Roberts:
    • Amber’s LinkedIn
    • Amber’s Twitter

    Episode Resources:
    • Arize’s LinkedIn
    • Arize’s blog

    If you enjoyed this episode then please either:
    • Subscribe, rate, and review on Apple Podcasts
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    52 min
  • Building an MLOps Culture in Your Team with Adam Sroka
    Subscribe to our YouTube channel to watch this episode!
    Learn more about Adam:
    • Adam’s LinkedIn
    • Adam’s Twitter

    Episode Resources:
    • Origami’s LinkedIn
    • Origami’s  Website

    If you enjoyed this episode then please either:
    • Subscribe, rate, and review on Apple Podcasts
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    53 min

About ML Platform Podcast

From the publisher's feed

Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.