17 More Must-Know Data Science Interview Questions and Answers by Gregory Piatetsky via @kdnuggets

17 new must-know Data Science Interview questions and answers include lessons from failure to predict 2016 US Presidential election and Super Bowl LI comeback, understanding bias and variance, why fewer predictors might be better, and how to make a model more robust to outliers. Part 2 overfitting, ensemble methods, feature selection, ground truth in unsupervised learning, the curse of dimensionality, and parallel algorithms. Part 3 overs A/B testing, data visualisation, Twitter influence evaluation, and Big Data quality.

Worth reading and checking if you could answer these or even if you understand them. I certainly found a couple of areas I need to concentrate on.

Part One

Part Two

Part Three