"As data scientist you’ve probably encountered them: data points that don’t fit in and have a bad influence on your models’ performance. How do you detect them?" Read more from Hennie de Harder's post. buff.ly/3djVsEh

@TDataScience This shows again the importance of statistics. There are rigorous ways to filter out outliers. Sometimes, it's done via experience if a data scientist is a domain expert of the data. #dataconcierge