Ask HN: As a software engineer, how do you leverage your knowledge in stats?
I spend most of my spare time learning statistics since I found that jumping straight into ML left a big gap in my understanding of how inferences and predictions are made.
I would like to use what I'm learning in statistics (confidence intervals, inference, linear regression, sampling, classification, etc.) at work where I am tasked with designing, building, reviewing and maintaining highly scalable and available systems that aren't solving problems using ML or statistics. I find myself thinking really hard about where I could use these concepts in my day job.
As a software engineer, how do you leverage your knowledge in statistics?
I would like to use what I'm learning in statistics (confidence intervals, inference, linear regression, sampling, classification, etc.) at work where I am tasked with designing, building, reviewing and maintaining highly scalable and available systems that aren't solving problems using ML or statistics. I find myself thinking really hard about where I could use these concepts in my day job.
As a software engineer, how do you leverage your knowledge in statistics?
Sorry for the vague nature of the question.