181 Episodo

  1. Bridging Data Science and Healthcare - Eleni Stamatelou

    Publicado: 20/10/2023
  2. DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer

    Publicado: 12/10/2023
  3. Data Engineering for Fraud Prevention - Angela Ramirez

    Publicado: 6/10/2023
  4. From Data Manager to Data Architect - Loïc Magnien

    Publicado: 29/9/2023
  5. Pragmatic and Standardized MLOps - Maria Vechtomova

    Publicado: 8/9/2023
  6. Democratizing Causality - Aleksander Molak

    Publicado: 25/8/2023
  7. Mastering Data Engineering as a Remote Worker - José María Sánchez Salas

    Publicado: 18/8/2023
  8. The Good, the Bad and the Ugly of GPT - Sandra Kublik

    Publicado: 4/8/2023
  9. LLMs for Everyone - Meryem Arik

    Publicado: 28/7/2023
  10. Investing in Open-Source Data Tools - Bela Wiertz

    Publicado: 21/7/2023
  11. Why Machine Learning Design is Broken - Valerii Babushkin

    Publicado: 14/7/2023
  12. Interpretable AI and ML - Polina Mosolova

    Publicado: 7/7/2023
  13. From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner

    Publicado: 30/6/2023
  14. From MLOps to DataOps - Santona Tuli

    Publicado: 23/6/2023
  15. Data Developer Relations - Hugo Bowne-Anderson

    Publicado: 16/6/2023
  16. Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas

    Publicado: 9/6/2023
  17. Data Access Management - Bart Vandekerckhove

    Publicado: 2/6/2023
  18. Data Strategy: Key Principles and Best Practices - Boyan Angelov

    Publicado: 26/5/2023
  19. Practical Data Privacy - Katharine Jarmul

    Publicado: 19/5/2023
  20. Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko

    Publicado: 12/5/2023

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