Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the confidence for the rule {d} → {b}?

Which type of deep neural network would work for the task of predicting stock market prices?

Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the support for the rule {d} → {b}?

You want to train a deep neural network for detecting bald eagles in nature pictures. Which type of network is the most suitable for this scenario?

Given that a set of data has noise and that the clusters are of different shapes and sizes, which clustering algorithm would work for this scenario?

Which type of deep neural network would work for the task of predicting gold market prices?

What process results in a Markov chain?

Which is a drawback of using the Monte Carlo method for solving reinforcement learning problems?

Figure 4: Transactions Dataset Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Figure 4: Transactions Dataset. You are using rule mining on a large dataset, and the table is a part of the dataset. If the itemset {a,b,c,d} is determined to be frequent, which of the transactions in the table are also frequent?

Figure 1: Centroid X and Y Values Data X Y x1 1 1 x2 6 6 x3 7 7 x4 3 2 x5 6 8 x6 2 1 x7 2 3   Review the table labeled Figure 1: Centroid X and Y Values. You decided to cluster the table data into two clusters using K-mean clustering. Initially, point x1 is chosen as Centroid1 and point x2 is chosen as Centroid2. Using Euclidean distance measure, what will be the final X and Y values of the Centroids after the first iteration of the K-mean clustering algorithm?