- What is over-fitting? How do you avoid it? - What types of regularization do we have? Which one is simpler to use? L1 or L2? - Explain decision trees? What are different metrics to classify dataset? - What is bagging? - We have two models, one with 85% accuracy, one 82%. Which one do you pick? - What is p-value and how can we use it?
what is your salary expectation?
Describe a time you had a problem at work and how did you solve it?
Given measurements of acceleration taken from a wristband, with second by second acceleration in the X, Y, Z axis, how would you predict if the person wearing the wrist is sitting, walking or just standing?
Mettez vous à jour des procédures?
23 recorded questions for online video interview
Basic ML problem like different between bagging and boosting? SVM kernel? LR optimization? FM? Building classification model, how to consider interactive term
Talk me through your CV
From the csv files, how is "A" improved over "B"? Do you have any other findings?
Alice ha 9 monete, Bob ha 8 monete. Quale è la probabilità che Alice ottenga più teste di Bob?
Viewing 421 - 430 interview questions