Consider the following Python session and its output. >>> import numpy as np >>> a = np.random.uniform(size=(5, 9)) >>> b = a/a[3, :] >>> print(XXXX) 1.0 What should you replace XXXX with in order to get the following output?

Consider overfitting when using DTLearner and a polynomial KNN. When overfitting occurs with these two methods, in which “direction” does it occur?

Consider kNN, linear regression (LR), Decision tree (DT) learning (using correlation for splitting), and Random tree. Which model has the slowest in query time?

What is the output of the following Python code snippet? >>> import numpy as np >>> np.random.seed(5) >>> x = np.random.uniform(0, 4) >>> np.random.seed(5) >>> y = np.random.uniform(0, 4) >>> z = np.random.uniform(0, 4) >>> print(z == y, x == z)

What is the output of the following Python session? >>> def func(k = 4): … j = 8 … return k + j … >>> q = 7 >>> j = 3 >>> print(func())

What is a good way to increase your net worth?

Consider the following order book. Bid size Price Ask size 200.80 300 200.75 200 200.50 100 200.25 100 100 199.95 400 199.90 100 199.85 At what average price would a limit order to BUY 200 shares at $200.75 be executed?

What is the output of the following Python session? >>> x = 5 >>> y = x >>> x = 3 >>> print(y * x)

Which of the following is NOT an advantage of ensemble learners?

Consider the following order book. Bid size Price Ask size 55.90 400 55.85 300 55.75 300 100 55.45 75 55.35 200 55.25 At what average price would a market order to BUY 100 shares be executed?