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Common Pitfalls when Working with Data

Abstract

With the current AI and data science hype, the marvelous theory of statistics has found yet two more fields for it to be applied. 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 pitfalls illustrated by relevant real-life examples.

Carl Lindberg

Co-Founder @ Sigmastocks
Director of Strategic Data Applications @ Zenseact

Carl is an entrepreneur who has cofounded Sigmastocks and Islands of Math. He also has a background as a professor in mathematical statistics. Currently, he coaches Ph.D. students at Zenseact, a Swedish autonomous driving company.