machine learning

Identify parametric machine learning algorithms

• Linear regression

• CNN

• Logistic regression

• Naïve Bayes

What are the additional configuration for the regression task in Automated ML :

• Primary metric

• Blocked algorithms

• Target columns

• Training job time (hours)

• Metric score threshold

What are the user Input to Automated ML process ?

• Dataset

• Target metric

• Constraint (cost / time)

• Algorithm

What represent the values that will flow through the graph, in computational graph under Tensorflow?

• Tuple

• ops

• Session

• None of these

Estimate the price of a house

• Cluster

• Class

• Regression

False negatives occur when you predict an observation ______ belong to a class when it fact it does.

• does

• does not

• it will

• it will not

Let’s say we have an image of size 45x55. It is a grayscale image. How many pixels do we need to represent this image in a numerical format?

• 2240

• 2420

• 2152

• 2340

Confusion matrix is a matrix where the predicted vs the actual value are placed to see how well the model performed

• True

• False

Reinforced Learning is used to get the machine to do what the programmer wants, the artificial intelligence gets either_________ for the actions it performs.

• thumbs up or down

• a good or bad record

• rewards or penalties

• pluses or minuses

The assets library does not contain which of the following options?

• Datasets

• Pipelines

• Modules

• Models