DataTalks.Club

166 Episoder

1. Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

   Publisert: 26.11.2023
2. The Unwritten Rules for Success in Machine Learning - Jack Blandin

   Publisert: 20.11.2023
3. From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber

   Publisert: 10.11.2023
4. From Marketing to Product Owner in Search - Lera Kaimashnіkova

   Publisert: 5.11.2023
5. Collaborative Data Science in Business - Ioannis Mesionis

   Publisert: 27.10.2023
6. Bridging Data Science and Healthcare - Eleni Stamatelou

   Publisert: 20.10.2023
7. DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer

   Publisert: 12.10.2023
8. Data Engineering for Fraud Prevention - Angela Ramirez

   Publisert: 6.10.2023
9. From Data Manager to Data Architect - Loïc Magnien

   Publisert: 29.9.2023
10. Pragmatic and Standardized MLOps - Maria Vechtomova

    Publisert: 8.9.2023
11. Democratizing Causality - Aleksander Molak

    Publisert: 25.8.2023
12. Mastering Data Engineering as a Remote Worker - José María Sánchez Salas

    Publisert: 18.8.2023
13. The Good, the Bad and the Ugly of GPT - Sandra Kublik

    Publisert: 4.8.2023
14. LLMs for Everyone - Meryem Arik

    Publisert: 28.7.2023
15. Investing in Open-Source Data Tools - Bela Wiertz

    Publisert: 21.7.2023
16. Why Machine Learning Design is Broken - Valerii Babushkin

    Publisert: 14.7.2023
17. Interpretable AI and ML - Polina Mosolova

    Publisert: 7.7.2023
18. From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner

    Publisert: 30.6.2023
19. From MLOps to DataOps - Santona Tuli

    Publisert: 23.6.2023
20. Data Developer Relations - Hugo Bowne-Anderson

    Publisert: 16.6.2023