DataTalks.Club

166 Episodes

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 6/16/2023