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 →
16A customer wants to forecast weekly demand. What's different about time-series ML, and how do you avoid embarrassing yourself?▼mediumDatabricksGoogleSnowflake1 replies○ sign inTime-series is where standard ML habits, random splits, fancy models first, single-number forecasts, fail loudest in front of customers. The baseline discipline and backtesting setup that keep you credible.Open full answer →
