DataTalks.Club

181 Episoder

1. Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Udgivet: 4.12.2023
16. Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

    Udgivet: 26.11.2023
17. The Unwritten Rules for Success in Machine Learning - Jack Blandin

    Udgivet: 20.11.2023
18. From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber

    Udgivet: 10.11.2023
19. From Marketing to Product Owner in Search - Lera Kaimashnіkova

    Udgivet: 5.11.2023
20. Collaborative Data Science in Business - Ioannis Mesionis

    Udgivet: 27.10.2023