Q3: (3 points) Answer True or False only: In AdaBoosting, subsequent decision stumps are trained by reweighing misclassified samples of the previous decision stumps. In this way, weak learners are combined parallelly to create a strong learner.

A parent brings a 12-year-old to the emergency room with multiple bite wounds to the arms and hands from a stray cat. Which interventions should the nurse be prepared to apply? Select all that apply.

Q11: (3 points) Answer True or False only: Reinforcement learning is to model sequential decision data. One of the most famous methods of policy gradient is DQN.

Q23 (6points) In an online shopping application scenario, you want to design a recommendation system for complementary or bundle item recommendations (e.g., laptop + laptop bag, pasta + pasta sauce). Which of the following would be a better recommendation system? Choose one and explain the reason(2 points). a) User-user collaborative filteringb) Item-item collaborative filteringc) Content-based recommendation  In one sentence, justify your answer (4 points).

Q28: (6 points)What are the three loss function names of RankSVM, RankBoost, and RankNet discussed in the lectures?

When counseling a male client with suspected HIV, the nurse informs him that if the enzyme-linked immunosorbent assay (ELISA) comes back positive, then:

Q22(20 points): Let us consider a one-dimensional space. We wish to perform a hierarchical clustering of the points 2, 6, 10, 14, and 18. Show what happens at each step until there are two clusters and give these two clusters. Your answer should be a table with a row for each step; the row should contain: The members of the new cluster formed  (5 points). Its centroid  (5 points). If you are merging a cluster C1 = {x, y, z} with centroid c1, and a cluster C2 = {p, q} with centroid c2, use the centroid–centroid distance |c2 – c1| to measure the distance between C1 and C2. For the merged cluster, you should report both: The members of the new cluster (5 points). The centroid obtained after merging (5 points).  

Q27: (6 points)What are the three categories of Learning to Rank types discussed in the lectures?

A client with hypercalcemia and hypercalciuria has just passed a kidney stone. The nurse recognizes which of these laboratory studies should also be assessed?

Q16: (4 points)What is the two main objective of a Support Vector Machine?