30.3.2.a. Supervised Learning

Try these first

1. 1.

   What is supervised learning?

   Hint

   Think about how teachers give students correct answers.

2. 2.

   Name one algorithm used in supervised learning.

   Hint

   It predicts continuous outcomes based on input variables.

3. 3.

   What is the primary objective of supervised learning?

   • To categorize unlabeled data
   • To predict outcomes based on labeled data
   • To perform reinforcement learning

   Hint

   Focus on the use of labeled data.

4. 4.

   True or False: Linear Regression can only be used for classification tasks.

   • True
   • False

   Hint

   What type of problems does Linear Regression solve?

5. 5.

   Design a supervised learning model to predict the lifespan of various building materials based on historical data. What steps would you take?

   Hint

   Think about data collection and the importance of model evaluation.

6. 6.

   Analyze the choice between using Linear Regression and Decision Trees for a dataset with high dimensional inputs. Which would you choose and why?

   Hint

   Focus on the characteristics of the data and algorithm strengths.