3.1.1. Types of AI Algorithms

Try these first

1. 1.

   What is supervised learning?

   Hint

   Think about labeled datasets.

2. 2.

   Name one example of unsupervised learning.

   Hint

   Consider clustering data points.

3. 3.

   What characterizes supervised learning?

   • Learning from labeled data
   • Learning from unlabeled data
   • Learning by trial and error

   Hint

   Think about what 'supervised' implies regarding guidance.

4. 4.

   Is reinforcement learning only applicable in gaming?

   • True
   • False

   Hint

   Consider various fields where machine learning can be beneficial.

5. 5.

   You are analyzing customer data for a retail store. How would you apply K-Means clustering to improve marketing strategies?

   Hint

   Think about how groups can help identify specific marketing needs.

6. 6.

   Imagine you want to develop an AI for autonomous driving. Discuss how reinforcement learning can be implemented in this context.

   Hint

   Consider the interaction between the AI and the driving environment.