MLOps.community

A podcast by Demetrios Brinkmann

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382 Episodes

  1. MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2

    Published: 22/09/2020
  2. MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent

    Published: 17/09/2020
  3. MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure

    Published: 14/09/2020
  4. MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1

    Published: 14/09/2020
  5. MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo

    Published: 8/09/2020
  6. MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul

    Published: 8/09/2020
  7. MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm

    Published: 5/09/2020
  8. MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady

    Published: 31/08/2020
  9. MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author

    Published: 20/08/2020
  10. MLOps Meetup #29 // Scaling Machine Learning Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet

    Published: 10/08/2020
  11. MLOps Coffee Sessions #6 // Continuous Integration for ML // Featuring Elle O'Brien

    Published: 8/08/2020
  12. MLOps Coffee Sessions #5 // Airflow in MLOps // Featuring Simon Darr and Byron Allen

    Published: 4/08/2020
  13. MLOps #28 Continuous Evaluation & Model Experimentation // Danny Ma - Founder & CEO at Sydney Data Science

    Published: 26/07/2020
  14. MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

    Published: 25/07/2020
  15. MLOps #27 ML Observability // Aparna Dhinakaran - Chief Product Officer at Arize AI

    Published: 24/07/2020
  16. MLOps Meetup #26 // How to Leverage ML Tooling Ecosystem // Mariya Davydova - Head of Product at Neu.ro

    Published: 20/07/2020
  17. MLOps Coffee Sessions #3 MLOps: Isn't That Just DevOps? // Featuring Ryan Dawson

    Published: 16/07/2020
  18. MLOps Meetup #25 // Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors

    Published: 12/07/2020
  19. MLOps Meetup #23 // Monitoring the ML stack // Lina Weichbrodt

    Published: 11/07/2020
  20. MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev

    Published: 10/07/2020

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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.

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