DataTalks.Club

166 Episodio

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

   Pubblicato: 15/08/2024
2. Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître

   Pubblicato: 26/07/2024
3. Building a Domestic Risk Assessment Tool - Sabina Firtala

   Pubblicato: 13/07/2024
4. Berlin Buzzwords 2024

   Pubblicato: 06/07/2024
5. Community Building and Teaching in AI & Tech - Erum Afzal

   Pubblicato: 10/05/2024
6. Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

   Pubblicato: 03/05/2024
7. AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

   Pubblicato: 26/04/2024
8. Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

   Pubblicato: 05/04/2024
9. Inclusive Data Leadership Coaching - Tereza Iofciu

   Pubblicato: 29/03/2024
10. Building Production Search Systems - Daniel Svonava

    Pubblicato: 22/03/2024
11. Building Machine Learning Products - Reem Mahmoud

    Pubblicato: 16/03/2024
12. Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF

    Pubblicato: 23/02/2024
13. Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri

    Pubblicato: 02/02/2024
14. Machine Learning Engineering in Finance - Nemanja Radojkovic

    Pubblicato: 31/01/2024
15. Stock Market Analysis with Python and Machine Learning - Ivan Brigida

    Pubblicato: 24/01/2024
16. Bayesian Modeling and Probabilistic Programming - Rob Zinkov

    Pubblicato: 22/01/2024
17. Navigating Challenges and Innovations in Search Technologies - Atita Arora

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

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

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

    Pubblicato: 04/12/2023