Naked Data Science

35 Episodo

1. Central Limit Theorem in Plain English

   Publicado: 20/6/2022
2. 34 - What you need to know about politics as a data scientist

   Publicado: 28/7/2021
3. 33 - Data scientist vs machine learning engineer - what you need to know

   Publicado: 2/7/2021
4. 32 - So you want to become a data scientist at FAANG

   Publicado: 23/3/2021
5. 31 - The Big Bang theory of data science (rebroadcast)

   Publicado: 14/2/2021
6. 30 - The One When Queries Beat Machine Learning

   Publicado: 31/1/2021
7. 29 - Forget that you are doing data science

   Publicado: 10/1/2021
8. 28 - Solve data science problems like a detective

   Publicado: 27/12/2020
9. 27 - Does your project even need machine learning?

   Publicado: 4/12/2020
10. 26 - Never scroll through your Jupyter notebook - and other tips on presenting data science work

    Publicado: 8/11/2020
11. 25 - The incomplete guide to cognitive biases in data science work

    Publicado: 25/10/2020
12. 24 - How to find interesting data science work everywhere

    Publicado: 11/10/2020
13. 23 - AutoML in plain English

    Publicado: 27/9/2020
14. 22 - Practical ethics of AI, machine learning, and data science

    Publicado: 6/9/2020
15. 21 - How to avoid these 9 mistakes in data science team communication

    Publicado: 23/8/2020
16. 20 - Systems thinking in data science

    Publicado: 16/8/2020
17. 19 - How to fast-track your domain knowledge

    Publicado: 9/8/2020
18. 18 - The 7 habits of thinking in questions

    Publicado: 2/8/2020
19. 17 - The art of reinventing the wheel

    Publicado: 26/7/2020
20. 16 - There will be errors

    Publicado: 19/7/2020