Naked Data Science

35 Folgen

1. Central Limit Theorem in Plain English

   Vom: 20.6.2022
2. 34 - What you need to know about politics as a data scientist

   Vom: 28.7.2021
3. 33 - Data scientist vs machine learning engineer - what you need to know

   Vom: 2.7.2021
4. 32 - So you want to become a data scientist at FAANG

   Vom: 23.3.2021
5. 31 - The Big Bang theory of data science (rebroadcast)

   Vom: 14.2.2021
6. 30 - The One When Queries Beat Machine Learning

   Vom: 31.1.2021
7. 29 - Forget that you are doing data science

   Vom: 10.1.2021
8. 28 - Solve data science problems like a detective

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

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

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

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

    Vom: 11.10.2020
13. 23 - AutoML in plain English

    Vom: 27.9.2020
14. 22 - Practical ethics of AI, machine learning, and data science

    Vom: 6.9.2020
15. 21 - How to avoid these 9 mistakes in data science team communication

    Vom: 23.8.2020
16. 20 - Systems thinking in data science

    Vom: 16.8.2020
17. 19 - How to fast-track your domain knowledge

    Vom: 9.8.2020
18. 18 - The 7 habits of thinking in questions

    Vom: 2.8.2020
19. 17 - The art of reinventing the wheel

    Vom: 26.7.2020
20. 16 - There will be errors

    Vom: 19.7.2020