181 Odcinki

  1. Defining Success: Metrics and KPIs - Adam Sroka

    Opublikowany: 17.09.2021

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

    Opublikowany: 11.09.2021

  3. Mastering Algorithms and Data Structures - Marcello La Rocca

    Opublikowany: 3.09.2021

  4. Chief Data Officer - Marco De Sa

    Opublikowany: 27.08.2021

  5. Freelancing in Machine Learning - Mikio Braun

    Opublikowany: 20.08.2021

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

    Opublikowany: 13.08.2021

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

    Opublikowany: 6.08.2021

  8. Humans in the Loop - Lina Weichbrodt

    Opublikowany: 30.07.2021

  9. Running from Complexity - Ben Wilson

    Opublikowany: 23.07.2021

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

    Opublikowany: 16.07.2021

  11. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Opublikowany: 9.07.2021

  12. Build Your Own Data Pipeline - Andreas Kretz

    Opublikowany: 2.07.2021

  13. From Software Engineering to Machine Learning - Santiago Valdarrama

    Opublikowany: 25.06.2021

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

    Opublikowany: 18.06.2021

  15. Data Governance - Jessi Ashdown, Uri Gilad

    Opublikowany: 11.06.2021

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

    Opublikowany: 4.06.2021

  17. Becoming a Data-led Professional - Arpit Choudhury

    Opublikowany: 28.05.2021

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

    Opublikowany: 21.05.2021

  19. From Physics to Machine Learning - Tatiana Gabruseva

    Opublikowany: 14.05.2021

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

    Opublikowany: 7.05.2021

8 / 10

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