Machine Learning trivia
More Machine Learning Trivia
Machine learning, models, and AI systems.
Machine Learning Mini Quiz
Test your knowledge with these top questions!
Why is ordinary accuracy often unavailable for unsupervised clusters?
Without known labels, analysts judge clusters by their structure and how well they support later tasks.
Principal component analysis keeps its first axis because that direction captures the most:
The first principal component follows the greatest spread in the data, preserving its strongest variation first.
Which training pattern separates a random forest from boosted trees?
Independent trees can train in parallel; boosted trees usually must wait for the model built in earlier rounds.
A fraud model misses transaction types scarce in its training data. Which issue does this illustrate?
NIST notes that non-representative samples can cause computational bias, making human oversight important.
A game-playing AI updates its strategy from wins and penalties. Which learning approach fits?
A policy acts as the agent's strategy for choosing actions, while rewards guide how that strategy improves.
What does unsupervised learning usually lack in its training data?
With no answer key, the algorithm looks for structure such as clusters or compact representations.
A home dataset lists floor area, bedrooms, age, and sale price. Which field is the label for price prediction?
The label supplies the known result that training tries to predict from the home's other fields.
Which machine-learning tool predicts interests from clicks, ratings, or viewing history?
Some recommenders suggest an item because people with similar tastes liked it.
Which values does a neural network mainly adjust while learning?
Weights scale each connection, while biases shift a neuron's response before the next layer.
A spam model returns 0.8. What turns that score into a yes-or-no label?
A threshold acts like a cutoff: scores above it enter the positive class, while lower scores enter the negative class.