DataTalks.Club

166 Episoder

1. Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas

   Publisert: 9.6.2023
2. Data Access Management - Bart Vandekerckhove

   Publisert: 2.6.2023
3. Data Strategy: Key Principles and Best Practices - Boyan Angelov

   Publisert: 26.5.2023
4. Practical Data Privacy - Katharine Jarmul

   Publisert: 19.5.2023
5. Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko

   Publisert: 12.5.2023
6. Building an Open-Source NLP Tool - Johannes Hötter

   Publisert: 21.4.2023
7. Navigating Industrial Data Challenges - Rosona Eldred

   Publisert: 14.4.2023
8. Mastering Self-Learning in Machine Learning - Aaisha Muhammad

   Publisert: 7.4.2023
9. The Secret Sauce of Data Science Management - Shir Meir Lador

   Publisert: 31.3.2023
10. SE4ML - Software Engineering for Machine Learning - Nadia Nahar

    Publisert: 24.3.2023
11. Starting a Consultancy in the Data Space - Aleksander Kruszelnicki

    Publisert: 17.3.2023
12. Biohacking for Data Scientists and ML Engineers - Ruslan Shchuchkin

    Publisert: 10.3.2023
13. Analytics for a Better World - Parvathy Krishnan

    Publisert: 3.3.2023
14. Accelerating the Adoption of AI through Diversity - Dânia Meira

    Publisert: 24.2.2023
15. Staff AI Engineer - Tatiana Gabruseva

    Publisert: 17.2.2023
16. The Journey of a Data Generalist: From Bioinformatics to Freelancing - Jekaterina Kokatjuhha

    Publisert: 11.2.2023
17. Navigating Career Changes in Machine Learning - Chris Szafranek

    Publisert: 3.2.2023
18. Preparing for a Data Science Interview - Luke Whipps

    Publisert: 27.1.2023
19. Indie Hacking - Pauline Clavelloux

    Publisert: 20.1.2023
20. Doing Software Engineering in Academia - Johanna Bayer

    Publisert: 13.1.2023