DataTalks.Club

166 Episodo

1. Conquering the Last Mile in Data - Caitlin Moorman

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

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

   Publicado: 8/10/2021
4. What Researchers and Engineers Can Learn from Each Other - Mihail Eric

   Publicado: 1/10/2021
5. Introducing Data Science in Startups - Marianna Diachuk

   Publicado: 24/9/2021
6. Defining Success: Metrics and KPIs - Adam Sroka

   Publicado: 17/9/2021
7. Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

   Publicado: 11/9/2021
8. Mastering Algorithms and Data Structures - Marcello La Rocca

   Publicado: 3/9/2021
9. Chief Data Officer - Marco De Sa

   Publicado: 27/8/2021
10. Freelancing in Machine Learning - Mikio Braun

    Publicado: 20/8/2021
11. Launching a Startup: From Idea to First Hire - Carmine Paolino

    Publicado: 13/8/2021
12. Approach Learning as ML Project - Vladimir Finkelshtein [mini]

    Publicado: 6/8/2021
13. Humans in the Loop - Lina Weichbrodt

    Publicado: 30/7/2021
14. Running from Complexity - Ben Wilson

    Publicado: 23/7/2021
15. I Want to Build a Machine Learning Startup! - Elena Samuylova

    Publicado: 16/7/2021
16. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Publicado: 9/7/2021
17. Build Your Own Data Pipeline - Andreas Kretz

    Publicado: 2/7/2021
18. From Software Engineering to Machine Learning - Santiago Valdarrama

    Publicado: 25/6/2021
19. Analytics Engineer: New Role in a Data Team - Victoria Perez Mola

    Publicado: 18/6/2021
20. Data Governance - Jessi Ashdown, Uri Gilad

    Publicado: 11/6/2021