DataTalks.Club

181 Episoder

1. Defining Success: Metrics and KPIs - Adam Sroka

   Udgivet: 17.9.2021
2. Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

   Udgivet: 11.9.2021
3. Mastering Algorithms and Data Structures - Marcello La Rocca

   Udgivet: 3.9.2021
4. Chief Data Officer - Marco De Sa

   Udgivet: 27.8.2021
5. Freelancing in Machine Learning - Mikio Braun

   Udgivet: 20.8.2021
6. Launching a Startup: From Idea to First Hire - Carmine Paolino

   Udgivet: 13.8.2021
7. Approach Learning as ML Project - Vladimir Finkelshtein [mini]

   Udgivet: 6.8.2021
8. Humans in the Loop - Lina Weichbrodt

   Udgivet: 30.7.2021
9. Running from Complexity - Ben Wilson

   Udgivet: 23.7.2021
10. I Want to Build a Machine Learning Startup! - Elena Samuylova

    Udgivet: 16.7.2021
11. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Udgivet: 9.7.2021
12. Build Your Own Data Pipeline - Andreas Kretz

    Udgivet: 2.7.2021
13. From Software Engineering to Machine Learning - Santiago Valdarrama

    Udgivet: 25.6.2021
14. Analytics Engineer: New Role in a Data Team - Victoria Perez Mola

    Udgivet: 18.6.2021
15. Data Governance - Jessi Ashdown, Uri Gilad

    Udgivet: 11.6.2021
16. What Data Scientists Don’t Mention in Their LinkedIn Profiles - Yury Kashnitsky

    Udgivet: 4.6.2021
17. Becoming a Data-led Professional - Arpit Choudhury

    Udgivet: 28.5.2021
18. How to Market Yourself (without Being a Celebrity) - Shawn Swyx Wang

    Udgivet: 21.5.2021
19. From Physics to Machine Learning - Tatiana Gabruseva

    Udgivet: 14.5.2021
20. What I Learned After Interviewing 300 Data Scientists - Oleg Novikov

    Udgivet: 7.5.2021