DataTalks.Club

166 Episodio

1. Conquering the Last Mile in Data - Caitlin Moorman

   Pubblicato: 22/10/2021
2. Similarities and Differences between ML and Analytics - Rishabh Bhargava

   Pubblicato: 15/10/2021
3. Building and Leading Data Teams - Tammy Liang

   Pubblicato: 08/10/2021
4. What Researchers and Engineers Can Learn from Each Other - Mihail Eric

   Pubblicato: 01/10/2021
5. Introducing Data Science in Startups - Marianna Diachuk

   Pubblicato: 24/09/2021
6. Defining Success: Metrics and KPIs - Adam Sroka

   Pubblicato: 17/09/2021
7. Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

   Pubblicato: 11/09/2021
8. Mastering Algorithms and Data Structures - Marcello La Rocca

   Pubblicato: 03/09/2021
9. Chief Data Officer - Marco De Sa

   Pubblicato: 27/08/2021
10. Freelancing in Machine Learning - Mikio Braun

    Pubblicato: 20/08/2021
11. Launching a Startup: From Idea to First Hire - Carmine Paolino

    Pubblicato: 13/08/2021
12. Approach Learning as ML Project - Vladimir Finkelshtein [mini]

    Pubblicato: 06/08/2021
13. Humans in the Loop - Lina Weichbrodt

    Pubblicato: 30/07/2021
14. Running from Complexity - Ben Wilson

    Pubblicato: 23/07/2021
15. I Want to Build a Machine Learning Startup! - Elena Samuylova

    Pubblicato: 16/07/2021
16. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Pubblicato: 09/07/2021
17. Build Your Own Data Pipeline - Andreas Kretz

    Pubblicato: 02/07/2021
18. From Software Engineering to Machine Learning - Santiago Valdarrama

    Pubblicato: 25/06/2021
19. Analytics Engineer: New Role in a Data Team - Victoria Perez Mola

    Pubblicato: 18/06/2021
20. Data Governance - Jessi Ashdown, Uri Gilad

    Pubblicato: 11/06/2021