DataTalks.Club

166 Episodes

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 1/13/2023