What is selection bias, why is it important, and how can you avoid it?

Data Science, AI and ML
#1

This is another common interview question when any type of data collection or analysis is involved. Your interviewer will be checking your general knowledge about the topic but also your personal opinions about it:

“Selection bias refers to the bias that results from a non-random population sample. This is important to avoid because when collecting data, you want to ensure it’s completely random to properly represent the general population versus a specific group. When strictly avoiding it is impractical, you can use techniques like resampling, boosting, and weighting.”