Interview Q&A / Machine Learning

INTERVIEW Q&A · 55 QUESTIONS

Machine Learning interview questions

Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.

  1. Why can't a random forest or decision tree extrapolate beyond the training range?

    Tree leaves hold averages of training targets, so a prediction can never exceed the largest or fall below the smallest value seen in training. For trends that continue upward, such as sales growth, linear models or feature engineering work better.

    AdvancedQuick answer1 min read