Practice Algorithms And Tools In Machine Learning (30.6) - Introduction to Machine Learning and AI

Practice: Algorithms and Tools in Machine Learning

Lesson 30.6Introduction to Machine Learning and AI

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a regression algorithm?
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Think about predicting values, such as temperature or construction costs.
Question 2.
Name one classification algorithm.
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Consider how software categorizes emails.
3Question 3.
What type of algorithm is primarily used for predicting continuous outcomes?
- Classification
- Regression
- Clustering
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Think about how you'd predict the height of someone based on their age.
4Question 4.
True or False: K-Means clustering is a supervised learning method.
- True
- False
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Consider how animals can be classified without knowing their names.
Question 5.
Design an algorithmic strategy using K-Means clustering for a city planner to identify zones that require more green spaces.
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Consider how proximity to existing parks affects population density.
Question 6.
Evaluate the limitations of using neural networks for predicting structural integrity. Provide examples.
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Think about how much data is available from construction measurements.

5 more questions in this section. Enroll free to practise them all.