DataTalks.Club

166 Episodo

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 4/12/2023