1
Which of these is a reasonable definition of machine learning?
2
The amount of rain that falls in a day is usually measured in either millimeters (mm) or inches. Suppose you use a learning algorithm to predict how much rain will fall tomorrow. Would you treat this as a classification or a regression problem?
3
Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn from.
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4
Of the following examples, which would you address using an unsupervised learning algorithm? (Check all that apply.)
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5
Given the following image, assign the correct label to each one of the numbered boxes. Options: Class, Neuron, Clustering, Accuracy, Weight, Label, Classification, Unsupervised learning, Training set, Keras, Supervised learning, Regression, Data. Example of answer: 1.Data 2.Supervised Learning 3.Weight 4.Label, 5.Keras
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