430 Episodo

  1. Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109

    Publicado: 23/7/2022
  2. ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108

    Publicado: 19/7/2022
  3. Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107

    Publicado: 11/7/2022
  4. Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106

    Publicado: 5/7/2022
  5. Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105

    Publicado: 1/7/2022
  6. MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104

    Publicado: 24/6/2022
  7. Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

    Publicado: 17/6/2022
  8. Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

    Publicado: 10/6/2022
  9. Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101

    Publicado: 3/6/2022
  10. Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1

    Publicado: 27/5/2022
  11. MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100

    Publicado: 27/5/2022
  12. CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99

    Publicado: 20/5/2022
  13. Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98

    Publicado: 12/5/2022
  14. Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

    Publicado: 5/5/2022
  15. FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

    Publicado: 2/5/2022
  16. MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

    Publicado: 25/4/2022
  17. Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94

    Publicado: 21/4/2022
  18. Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93

    Publicado: 14/4/2022
  19. Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

    Publicado: 11/4/2022
  20. The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

    Publicado: 7/4/2022

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Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

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