Machine Learning — Summer 2023

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

Explain the Bayes Theorem.

What is Learning Problems. Explain the steps for designing a learning system in detail.

What is Information Gain (IG)? Explain with example addressing calculation of Information Gain. How it is used for selection of attributes.

Explain Candidate Elimination algorithm in details.

What is decision tree learning? List and explain issues in decision tree learning.

What is BAYESIAN belief network? Explain with example.

Write a note on 1. Concept learning 2. Artificial Neural Network (ANN)

Explain ID3 decision tree algorithm with example.

Explain K- Nearest Neighbor Learning algorithm.

How sequential covering algorithm works? Explain with example.

What is Brute-Force Bayes concept learning? Explain with example

What is Case Based Reasoning (CBR)? How it helps in learning? Explain with example.

What is VC dimension and explain how it is used?

Compare supervised, unsupervised and reinforcement algorithm with example.

What is First Order Horn Clauses? How it helps in learning? Explain with example.

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