DataTalks.Club

166 Episodo

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

   Publicado: 26/11/2023
2. The Unwritten Rules for Success in Machine Learning - Jack Blandin

   Publicado: 20/11/2023
3. From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber

   Publicado: 10/11/2023
4. From Marketing to Product Owner in Search - Lera Kaimashnіkova

   Publicado: 5/11/2023
5. Collaborative Data Science in Business - Ioannis Mesionis

   Publicado: 27/10/2023
6. Bridging Data Science and Healthcare - Eleni Stamatelou

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 16/6/2023