INTRODUCTION TO AI & ML (BME456A)

INTRODUCTION TO AI & ML

Course Code BME456A 
CIE Marks 50
Teaching Hours/Week (L:T:P: S) 0:0:2:0 
SEE Marks 50
Total Hours of Pedagogy 15 sessions 
Total Marks 100
Credits 01 
Exam Hours 03
Examination type (SEE) PRACTICAL 

Experiments

1 Implement A* Search algorithm.

2 Implement AO* Search algorithm.

3 Write a program to implement Water jug program using AI.

4 The probability that it is Friday and that a student is absent is 3 %. Since there are 5 school days

in a week, the probability that it is Friday is 20 %. What is the probability that a student is absent

given that today is Friday? Apply Baye’s rule in python to get the result.

5 Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based

on a given set of training data samples. Read the training data from a .CSV file.

6 For a given set of training data examples stored in a .CSV file, implement and demonstrate the

Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent

with the training examples.

7 Build an Artificial Neural Network by implementing the Backpropagation algorithm and test the

same using appropriate data sets.

8 Write a program to construct a Bayesian network considering medical data. Use this model to

demonstrate the diagnosis of heart patients using standard Heart Disease Data Set. You can use

Java/Python ML library classes/API

Demonstration Experiments ( For CIE )

9 Write a program to demonstrate the working of the decision tree based ID3 algorithm.

Use an appropriate data set for building the decision tree and apply this knowledge to

classify a new sample.

Suggested Learning Resources:

1. Tom M Mitchell,“Machine Lerning”,1 st Edition, McGraw Hill Education, 2017.

2. 2. Elaine Rich, Kevin K and S B Nair, “Artificial Inteligence”, 3rd Edition, McGraw Hill Education,