Machine Learning Flashcards
6 cards from real Artificial Intelligence practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Machine Learning flashcards as text
Which algorithm is a non-parametric method that classifies new points based on the majority class of their nearest neighbors?
Answer: K-Nearest Neighbors
K-Nearest Neighbors classifies a point by looking at the k closest training examples and using a majority vote.
What is cross-validation used for in machine learning?
Answer: To estimate model performance on unseen data
Cross-validation partitions data into folds to provide a reliable estimate of how the model generalizes.
Which ensemble method builds multiple decision trees and averages their predictions?
Answer: Random Forest
Random Forest builds many decision trees using random subsets of data and features, then averages results.
What is 'feature engineering' in the machine learning pipeline?
Answer: Creating or transforming input variables to improve model performance
Feature engineering involves creating, transforming, or selecting input variables to make patterns easier for a model to learn.
Which gradient boosting library is widely used in US industry competitions and known for speed?
Answer: XGBoost
XGBoost is an optimized gradient boosting library that is fast, scalable, and popular in competitions like Kaggle.
What does 'learning rate' control in gradient descent optimization?
Answer: The step size taken in the direction of the negative gradient
The learning rate determines how large each parameter update step is during gradient descent.