DataTalks.Club

159 Episodes

1. Data Engineering for Fraud Prevention - Angela Ramirez

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 6/9/2023
15. Data Access Management - Bart Vandekerckhove

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

    Published: 5/26/2023
17. Practical Data Privacy - Katharine Jarmul

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

    Published: 5/12/2023
19. Building an Open-Source NLP Tool - Johannes Hötter

    Published: 4/21/2023
20. Navigating Industrial Data Challenges - Rosona Eldred

    Published: 4/14/2023