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
What is the primary goal of unsupervised learning?
Answer: Discover hidden structure in unlabeled data
Unsupervised learning finds patterns, clusters, or structure in data without predefined labels.
Which algorithm minimizes a cost function by iteratively updating model parameters using the gradient?
Answer: Gradient Descent
Gradient descent updates parameters by moving in the direction that reduces the cost function.
What is a confusion matrix used to evaluate?
Answer: Classification model performance across all classes
A confusion matrix shows counts of true positives, false positives, true negatives, and false negatives for a classifier.
In machine learning, what does 'hyperparameter tuning' refer to?
Answer: Selecting model parameters that are set before training
Hyperparameter tuning searches for the best configuration values (e.g., learning rate, depth) that are set before training begins.
What does PCA (Principal Component Analysis) accomplish?
Answer: Reduces dimensionality by projecting data onto principal components
PCA finds orthogonal axes of maximum variance and projects data onto fewer dimensions while preserving variance.
Which type of machine learning problem involves predicting a continuous numeric value?
Answer: Regression
Regression predicts a continuous output variable such as price, temperature, or sales.