3.1. Introduction to AI Algorithms

Try these first

1. 1.

   Define supervised learning in your own words.

   Hint

   Think about what the model learns from during training.

2. 2.

   What is unsupervised learning?

   Hint

   Consider what types of data it works with.

3. 3.

   What type of learning uses labeled datasets?

   • Supervised Learning
   • Unsupervised Learning
   • Reinforcement Learning

   Hint

   Think about the data type used during training.

4. 4.

   True or False: Unsupervised learning requires labeled data.

   • True
   • False

   Hint

   Reflect on how unsupervised learning works.

5. 5.

   Given a dataset with no labels, which machine learning approach would you choose to explore the data's hidden structures? Justify your choice.

   Hint

   Consider how you could derive insights without any prior information.

6. 6.

   In which scenarios would a reinforcement learning algorithm outperform a supervised algorithm? Discuss two distinct cases.

   Hint

   Think of situations where actions impact future decisions.