DataTalks.Club

166 Episodes

1. DataOps, Observability, and The Cure for Data Team Blues - Christopher Bergh

   Published: 8/15/2024
2. Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître

   Published: 7/26/2024
3. Building a Domestic Risk Assessment Tool - Sabina Firtala

   Published: 7/13/2024
4. Berlin Buzzwords 2024

   Published: 7/6/2024
5. Community Building and Teaching in AI & Tech - Erum Afzal

   Published: 5/10/2024
6. Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

   Published: 5/3/2024
7. AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

   Published: 4/26/2024
8. Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

   Published: 4/5/2024
9. Inclusive Data Leadership Coaching - Tereza Iofciu

   Published: 3/29/2024
10. Building Production Search Systems - Daniel Svonava

    Published: 3/22/2024
11. Building Machine Learning Products - Reem Mahmoud

    Published: 3/16/2024
12. Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF

    Published: 2/23/2024
13. Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri

    Published: 2/2/2024
14. Machine Learning Engineering in Finance - Nemanja Radojkovic

    Published: 1/31/2024
15. Stock Market Analysis with Python and Machine Learning - Ivan Brigida

    Published: 1/24/2024
16. Bayesian Modeling and Probabilistic Programming - Rob Zinkov

    Published: 1/22/2024
17. Navigating Challenges and Innovations in Search Technologies - Atita Arora

    Published: 12/27/2023
18. The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru

    Published: 12/19/2023
19. Become a Data Freelancer - Dimitri Visnadi

    Published: 12/17/2023
20. AI for Digital Health - Maria Bruckert

    Published: 12/4/2023