Machine Learning — Winter 2024

What is Machine Learning? List advantages and limitations of the Machine Learning.

Explain the following terms: 1. FOCL 2. ANN 3. Hypothesis 4. Training data set 5. Testing data set 6. linear regression 7. for Bayes theorem P(h|D) =_______ Define Machine Learning and Learning Problems. What is a well-defined

07 learning? problem? Explain it with an example.

Explain qualitative and quantitative data in details.

Explain Bayes theorem in detail.

What is Neural Network Representation? Explain with example.

Explain feature construction in detail with example.

Compare supervised, unsupervised and reinforcement algorithm with suitable example.

What is BAYESIAN belief network? Explain with example.

Discuss K-nearest Neighbor algorithm in detail.

Discuss the decision tree algorithm in detail.

Discuss the SVM model in detail with different scenarios.

Discuss Backpropagation algorithm in detail. What is reinforcement learning? What is the purpose of reward in this kind of

07 learning?

Discuss the application areas of machine learning algorithms.

Explain First Order Combined Learner (FOCL) algorithm with example.

Explain the Apriori algorithm for association rule learning with example.