Practice Supervised Learning (30.3.2.a) - Introduction to Machine Learning and AI

Practice: Supervised Learning

Lesson 30.3.2.aIntroduction to Machine Learning and AI

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10 questions

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6 sample questions

Question 1.
What is supervised learning?
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Think about how teachers give students correct answers.
Question 2.
Name one algorithm used in supervised learning.
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It predicts continuous outcomes based on input variables.
3Question 3.
What is the primary objective of supervised learning?
- To categorize unlabeled data
- To predict outcomes based on labeled data
- To perform reinforcement learning
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Focus on the use of labeled data.
4Question 4.
True or False: Linear Regression can only be used for classification tasks.
- True
- False
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What type of problems does Linear Regression solve?
Question 5.
Design a supervised learning model to predict the lifespan of various building materials based on historical data. What steps would you take?
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Think about data collection and the importance of model evaluation.
Question 6.
Analyze the choice between using Linear Regression and Decision Trees for a dataset with high dimensional inputs. Which would you choose and why?
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Focus on the characteristics of the data and algorithm strengths.

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