If you are on this Page You Want to Download IGNOU MCS 224 Important Questions / Exam Notes 2023 Artificial Intelligence and Machine Learning In this section, You will find all the Exam important Questions of all courses which are divided by the Section “SEMESTER WISE”.
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| S.NO | Some Questions |
| 1 | (a) Compare Narrow AI, General AI and Super AI. Give suitable example for each. (b) Briefly discuss the formulation of state space search, with a suitable example. |
| 2 | (a) What do you understand by the term “Agents” in Artificial Intelligence ? List the properties, supposed to be possessed by agents. Also, compare the SR (simple reflex) agents with model based reflex agents. (b) Draw the block diagram of machine learning cycle and briefly discuss the role of each of its components. |
| 3 | (a) What is Adversarial Search ? How it is different from the normal search ? Briefly discuss the types of adversarial search. (b) Differentiate between the following, with an example for each : (i) Machine learning and Data mining (ii) Multi-class classification and Multilabel classification |
| 4 | (a) What is Best First Search ? How is it different from greedy best first search ? Give time complexity and space complexity of best first search. Also, give advantage and disadvantage of best first search. |
| 5 | (b) How regression differs from classification ? What is the similarity between the two ? Briefly discuss the following type of regression :- (i) Linear regression (ii) Multiple linear regression (iii) Logistic regression (iv) Polynomial regression |
| 6 | Differentiate between Artificial Intelligence, Machine Learning and Deep learning |
| 7 | Briefly discuss the concept of single agent search and two agent search in Artificial Intelligence. |
| 8 | Explain A* and AO* search with the help of suitable example. |
| 9 | Compare and contrast the predicate logic and propositional logic, give suitable example for each. Also write De Morgan’s laws for both. |
| 10 | Discuss the concept of Resolution with the help of suitable example |
| S.NO | Some Questions |
| 11 | Explain the concept of semantic nets with the help of suitable diagram. |
| 12 | What do you understand by Bayesian Theory, with reference to its utility in artificial intelligence? |
| 13 | What are Fuzzy sets? How do they differ from Rough sets? |
| 14 | Differentiate between Supervised learning and Unsupervised learning, give suitable example for each |
| 15 | Discuss the concept of Linear regression and its utility in context of machine learning. |
| 16 | Explain the functioning of neural networks, with the help of suitable diagram. |
| 17 | Give brief introduction to the concept of feature selection and feature extraction, give suitable example for each. |
| 18 | What is pattern search? Discuss the Apriori Algorithm for pattern search |
| 19 | What do you understand by clustering in context of machine learning? How it differs from classification? List the algorithms used for the purpose of clustering and classification, separately. |
| 20 | Write Python code to exhibit data classification through K-Nearest Neighbour (K-NN) algorithm. |
| S.NO | Short Questions |
| 1 | (a) Rule based systems and its types (b) Frames |
| 2 | (c) Dempster Scheffer theory (d) Closed world assumption |
| 3 | (e) Recursive neural networks (f) Generative adversarial networks |
| 4 | (g) Support vector machines (h) Confusion matrix |
| 5 | (i) Linear discriminant analysis (j) Pincer search |
| 6 | a) Reinforcement Learning b) Ensemble method |
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Important Question Disclaimer:
All these Important Questions are prepared by the Ex-Ignou & Present ignou Students. Their Experiences are really going to help you to score 80+ in your TEE.
With all this information, We also Clarify here that everything here (Notes, Assignment, Old Questions, And Important Question) are made by Using IGNOU Books and Also Internet sources.