Sem: Dec-2024 Maximum Marks: 50 Examination: End Exam Date:15/12/24 Duration: 2.5hrs
Programme code: 18 Programme: MBA for Working Executive	Class: FY	Semester: III Batch- 2023-24
College: K. J. Somaiya Institute of Management	Name of the department/Section/Center: DST
Course Code: 117P18C311	Name of the Course: AI and ML Application in Business
Instructions: 1. Question No. 1 is compulsory. 2. Attempt any four from Q.2 to Q.6

Question No.	Max. Marks
Q1.	a) Write short notes on Artificial Intelligence? Describe any two applications of artificial intelligence in healthcare sector? b) Distinguish between supervised learning and Reinforcement learning. Illustrate with an example.	(05) (05)
Q2.	a) What are the main activities involved in machine learning? What is meant by data pre-processing? b) What is overfitting? When does it happen? Explain with an example.	(06) (04)
Q3.	a) What is feature engineering? Explain, in details, the different aspects of feature engineering? b) What is feature selection? Why is it needed? What are the different approaches of feature selection?	(05) (05)
Q4.	a) A retail company wants to predict customer churn. Which type of supervised learning technique (regression/classification) would you use, and why? b) Compare Narrow AI, General AI and Super AI. Give suitable example for each.	(05) (05)
Q5.	a) How do we decide the value of “K” in KNN algorithm? Why is the odd value of “K” preferable in KNN algorithm? Explain with an example. b) What is Decision Tree? Explain its detailed concepts.	(05) (05)
Q6.	a) What is the goal of the support vector machine (SVM)? How to compute the margin. a) Based on the following data determine the gender of a person having height 6ft., weight 130 lbs and foot size 8 inch. (use Naive Bayes algorithm) Person Height(ft) Weight(lbs) Foot size(inches) Male 6.00 180 12 Male 5.92 190 11 Male 5.58 170 12 Male 5.92 165 10 Female 5.00 100 6 Female 5.50 150 8 Female 5.42 130 7 Female 5.75 150 9	(05) (05)