1/In the machine learning terminology, we frequently use the following notation.

Y'=f ( [x1, x2, x3,...xD] )

Match the correct names with the following parts of this notation.

(regression function / actual target / feature vector / predicted target / model / feature)

x1 =

Y' =

f() =

[x1, x2, x3,...xD] =

2/In unsupervised learning, the data set must include the target values for the cases. True or False

3/You would like to develop an AI algorithm to guide underwater drones that traverse unknown deep ocean caves autonomously. Which machine learning approach is the most appropriate to achieve this goal?

a/supervised learning

b/unsupervised learning

c/reinforcement learning

4/Using a machine learning algorithm, you predicted 10 cases with a loss value of 0. Which of the following statement is correct?

a/The predicted values were identical to the actual values for all cases.l for all cases.

b/Negative and postive error values cancelled one another.

5/What is the mse value of the following vectors of true and predicticted target values?

y_true = [2, 3, 4, 5, 7] y_pred = [1, 3, 7, 9, 7] 

6/Which of the following is not considered among data mining tasks?

a/anomaly detection

b/association between variables

c/classification of cases

d/regression

e/archiving data for long term

7/Which of the following is among a feature of big data?

a/it is free of biases.

b/it is focused on a few variables.

c/it is dynamic and being generated continuously.

d/it is reliable.