35 Odcinki

  1. Central Limit Theorem in Plain English

    Opublikowany: 20.06.2022
  2. 34 - What you need to know about politics as a data scientist

    Opublikowany: 28.07.2021
  3. 33 - Data scientist vs machine learning engineer - what you need to know

    Opublikowany: 2.07.2021
  4. 32 - So you want to become a data scientist at FAANG

    Opublikowany: 23.03.2021
  5. 31 - The Big Bang theory of data science (rebroadcast)

    Opublikowany: 14.02.2021
  6. 30 - The One When Queries Beat Machine Learning

    Opublikowany: 31.01.2021
  7. 29 - Forget that you are doing data science

    Opublikowany: 10.01.2021
  8. 28 - Solve data science problems like a detective

    Opublikowany: 27.12.2020
  9. 27 - Does your project even need machine learning?

    Opublikowany: 4.12.2020
  10. 26 - Never scroll through your Jupyter notebook - and other tips on presenting data science work

    Opublikowany: 8.11.2020
  11. 25 - The incomplete guide to cognitive biases in data science work

    Opublikowany: 25.10.2020
  12. 24 - How to find interesting data science work everywhere

    Opublikowany: 11.10.2020
  13. 23 - AutoML in plain English

    Opublikowany: 27.09.2020
  14. 22 - Practical ethics of AI, machine learning, and data science

    Opublikowany: 6.09.2020
  15. 21 - How to avoid these 9 mistakes in data science team communication

    Opublikowany: 23.08.2020
  16. 20 - Systems thinking in data science

    Opublikowany: 16.08.2020
  17. 19 - How to fast-track your domain knowledge

    Opublikowany: 9.08.2020
  18. 18 - The 7 habits of thinking in questions

    Opublikowany: 2.08.2020
  19. 17 - The art of reinventing the wheel

    Opublikowany: 26.07.2020
  20. 16 - There will be errors

    Opublikowany: 19.07.2020

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