Advertisement

Lean Data Science

Nov. 26, 2020
Advertisement

More Related Content

Slideshows for you(20)

Similar to Lean Data Science(20)

Advertisement

Lean Data Science

  1. https://kaminsky.rocks/ @mike_kaminsky Lean Data Science 2020-11-19
  2. https://kaminsky.rocks/ @mike_kaminsky Who is this guy? Michael Kaminsky Data Scientist / Analytics Engineer Built Data Team @ Harry’s Founded Locally Optimistic Entrepreneur Technical & Data Strategy Advisor
  3. https://kaminsky.rocks/ @mike_kaminsky What is the goal of doing data science?
  4. https://kaminsky.rocks/ @mike_kaminsky Learn new skills to earn more $$ in next job?
  5. https://kaminsky.rocks/ @mike_kaminsky Fry an egg on a laptop during model training?
  6. https://kaminsky.rocks/ @mike_kaminsky Impress other data scientists at conferences? h/t @josh_wills for this joke.
  7. https://kaminsky.rocks/ @mike_kaminsky Sound really smart in meetings?
  8. https://kaminsky.rocks/ @mike_kaminsky No.
  9. https://kaminsky.rocks/ @mike_kaminsky We are here to create business value ● Just like every other team in the organization ● But (maybe) data scientists use data to do it
  10. https://kaminsky.rocks/ @mike_kaminsky But this is hard
  11. https://kaminsky.rocks/ @mike_kaminsky “Science” means it’s experimental
  12. https://kaminsky.rocks/ @mike_kaminsky Don’t know what’s possible until we try it
  13. https://kaminsky.rocks/ @mike_kaminsky Uncertainty on Uncertainty Even if the science parts works, will the “product” part work as well?
  14. https://kaminsky.rocks/ @mike_kaminsky So what do we do about it?
  15. https://kaminsky.rocks/ @mike_kaminsky Maximize: value(x): potential impact of a DS endeavor effort(x): amount of work / time required for the endeavor p(x): probability DS endeavor will pan out Optimize Expected Value
  16. https://kaminsky.rocks/ @mike_kaminsky We can improve outcomes by learning over time Each week, we can gain more information about ● value(x) -- will this project be as valuable as we think it is? ● effort(x) -- how hard will this problem be to solve? ● p(x) -- how likely are we to eventually solve it and gain value from it?
  17. https://kaminsky.rocks/ @mike_kaminsky Explore & Exploit We want to optimize for: ● Making forward progress on high expected-value projects ● Learning more about which projects have the highest expected value
  18. https://kaminsky.rocks/ @mike_kaminsky Lean Startup & Validated Learning ● Startups are highly uncertain ● Have the ability to move fast and “pivot” ● Must root work in what drives the most value
  19. https://kaminsky.rocks/ @mike_kaminsky Lean Data Science
  20. https://kaminsky.rocks/ @mike_kaminsky 1. Measure business outcomes, not model performance ❌
  21. https://kaminsky.rocks/ @mike_kaminsky 2. Ship early and often
  22. https://kaminsky.rocks/ @mike_kaminsky 3. Embrace failure and accept good enough
  23. https://kaminsky.rocks/ @mike_kaminsky Lean Data Science ● Measure business outcomes, not model performance ● Ship early and often ● Embrace failure and accept good enough
Advertisement