Artificial Intelligence unit 4 – Machine Learning, most Important, most asked previous year questions in your semester exams are listed below.
It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs.
Topic : Machine Learning (Key Note and Questions)
Questions
- What do you mean by learning? Explain the important components of learning.
- Explain supervised and unsupervised learning.
- Write a difference between supervised and unsupervised learning.
- Illustrate decision tree learning technique using a suitable example.
- Describe the statistical learning model in detail.
- Explain the following term: a). Maximum a posteriori(MAP) b). Maximum-likelihood hypothesis
- Write a note on naive Bayes model.
- Determine whether the Describe a learning technique that is used to handle the problem of hidden variable.
- Explain learning with complete data-Native Bayes models and learning with hidden data-EM algorithm.
- Explain the learning hidden Markov model.
- Write a short note on reinforcement learning.
- What is reinforcement learning? Differentiate between passive reinforcement learning and active reinforcement learning.