CS 540 Spring 2025 Midterm

Content locked

The catalog is public. Reading this content requires approved access.

Question 1 (probability)

Question 2 (Bayes’ rule)

Question 3 (classification)

Question 4 (PCA)

Question 5 (supervised vs. unsupervised)

Question 6 (activation functions)

Question 7 (PCA projection)

Question 8 (eigenvalues)

Question 9 (logic)

Question 10 (word embeddings)

Question 11 (n-grams)

Question 12 (perceptron / ReLU)

Question 13 (bigram MLE)

Question 14 (hierarchical clustering)

Question 15 (k-means centroid)

Question 16 (clustering true/false)

Question 17 (linear regression — NOT true)

Question 18 (KNN — effect of K)

Question 19 (naive Bayes)

Question 20 (mini-batch gradient descent)

Question 21 (KNN drawback)

Question 22 (counting MLP parameters)

Question 23 (activation criteria)

Question 24 (BCE gradient)

Question 25 (underfitting)