DataTalks.Club

En podcast af DataTalks.Club

Kategorier:

166 Episoder

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

    Udgivet: 15.8.2024
  2. Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître

    Udgivet: 26.7.2024
  3. Building a Domestic Risk Assessment Tool - Sabina Firtala

    Udgivet: 13.7.2024
  4. Berlin Buzzwords 2024

    Udgivet: 6.7.2024
  5. Community Building and Teaching in AI & Tech - Erum Afzal

    Udgivet: 10.5.2024
  6. Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

    Udgivet: 3.5.2024
  7. AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

    Udgivet: 26.4.2024
  8. Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

    Udgivet: 5.4.2024
  9. Inclusive Data Leadership Coaching - Tereza Iofciu

    Udgivet: 29.3.2024
  10. Building Production Search Systems - Daniel Svonava

    Udgivet: 22.3.2024
  11. Building Machine Learning Products - Reem Mahmoud

    Udgivet: 16.3.2024
  12. Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF

    Udgivet: 23.2.2024
  13. Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri

    Udgivet: 2.2.2024
  14. Machine Learning Engineering in Finance - Nemanja Radojkovic

    Udgivet: 31.1.2024
  15. Stock Market Analysis with Python and Machine Learning - Ivan Brigida

    Udgivet: 24.1.2024
  16. Bayesian Modeling and Probabilistic Programming - Rob Zinkov

    Udgivet: 22.1.2024
  17. Navigating Challenges and Innovations in Search Technologies - Atita Arora

    Udgivet: 27.12.2023
  18. The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru

    Udgivet: 19.12.2023
  19. Become a Data Freelancer - Dimitri Visnadi

    Udgivet: 17.12.2023
  20. AI for Digital Health - Maria Bruckert

    Udgivet: 4.12.2023

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