Common Pitfalls when Working with Data
With the present AI and Data Science hype, the marvelous theory of Statistics has found yet two more fields to be applied to. However, the Statistical Machine works differently than most other machines you have heard of, and there are many pitfalls into which Data Scientists innocent of Applied Statistics too easily fall. This talk will deal with some of the most common such pitfalls, illustrated by relevant real life examples.
Carl is an entrepreneur who has co-founded e g Sigmastocks and Islands of Math. He also has a background as professor in Mathematical Statistics. Currently, he coaches PhD students at Zenseact, a Swedish autonomous driving company.
