07Explain k-fold cross-validation, and when would you refuse to use it?▼easyGoogleDatabricksMicrosoft1 repliesunlockedEveryone can describe the five folds. The question is really about the second half, the two data shapes, both everywhere in enterprise data, where standard k-fold quietly lies to you.Open full answer →
62A customer has only 200 labeled examples. How do you build a model?▼hardGoogleScale AIPalantir2 replies◆ premiumThe amateur move is to train a fresh deep net on 200 rows and overfit instantly. The senior move is to spend almost no labels on training: lean on a pretrained model, use the 200 as a validation set, and design a labeling loop that buys the most signal per label.Open full answer →
