Naked Data Science

35 Episodes

1. Central Limit Theorem in Plain English

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 7/19/2020