DataTalks.Club

166 Episodo

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

   Publicado: 9/6/2023
2. Data Access Management - Bart Vandekerckhove

   Publicado: 2/6/2023
3. Data Strategy: Key Principles and Best Practices - Boyan Angelov

   Publicado: 26/5/2023
4. Practical Data Privacy - Katharine Jarmul

   Publicado: 19/5/2023
5. Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko

   Publicado: 12/5/2023
6. Building an Open-Source NLP Tool - Johannes Hötter

   Publicado: 21/4/2023
7. Navigating Industrial Data Challenges - Rosona Eldred

   Publicado: 14/4/2023
8. Mastering Self-Learning in Machine Learning - Aaisha Muhammad

   Publicado: 7/4/2023
9. The Secret Sauce of Data Science Management - Shir Meir Lador

   Publicado: 31/3/2023
10. SE4ML - Software Engineering for Machine Learning - Nadia Nahar

    Publicado: 24/3/2023
11. Starting a Consultancy in the Data Space - Aleksander Kruszelnicki

    Publicado: 17/3/2023
12. Biohacking for Data Scientists and ML Engineers - Ruslan Shchuchkin

    Publicado: 10/3/2023
13. Analytics for a Better World - Parvathy Krishnan

    Publicado: 3/3/2023
14. Accelerating the Adoption of AI through Diversity - Dânia Meira

    Publicado: 24/2/2023
15. Staff AI Engineer - Tatiana Gabruseva

    Publicado: 17/2/2023
16. The Journey of a Data Generalist: From Bioinformatics to Freelancing - Jekaterina Kokatjuhha

    Publicado: 11/2/2023
17. Navigating Career Changes in Machine Learning - Chris Szafranek

    Publicado: 3/2/2023
18. Preparing for a Data Science Interview - Luke Whipps

    Publicado: 27/1/2023
19. Indie Hacking - Pauline Clavelloux

    Publicado: 20/1/2023
20. Doing Software Engineering in Academia - Johanna Bayer

    Publicado: 13/1/2023