31.4.2. Machine Learning and AI Applications

Try these first

1. 1.

   What is supervised learning?

   Hint

   Think about how you might predict something using examples.

2. 2.

   Name one algorithm used in supervised learning.

   Hint

   Think of trees and decisions made based on previous information.

3. 3.

   What type of learning uses labeled data?

   • Supervised Learning
   • Unsupervised Learning
   • Reinforced Learning

   Hint

   Remember, it's about learning from examples.

4. 4.

   True or False: Unsupervised learning can predict future outcomes.

   • True
   • False

   Hint

   Think about what data is used in unsupervised learning.

5. 5.

   Design a basic predictive maintenance model using both supervised and unsupervised learning methods. Explain the data inputs you would require.

   Hint

   Think about the types of data that are commonly available in industries.

6. 6.

   Evaluate the impact of deep learning in predictive maintenance on operational efficiency and cost-effectiveness compared to traditional methods.

   Hint

   Consider the benefits of varying levels of data complexity.