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3. In dataset division, which data is used for final evaluation?
a) Training b) Validation
c) Test d) Raw data
4. Clustering is mainly used to:
a) Predict marks b) Group similar data
c) Translate language d) Detect spam
B. Fill in the blanks.
1. Regression predicts values.
2. Clustering does not require data.
3. Computer Vision works mainly with and videos.
4. NLP helps machines understand .
C. Short Answer Questions.
1. Differentiate between classification and regression.
2. What is clustering? Give one example.
3. Explain the importance of datasets in AI.
4. List the steps involved in Computer Vision.
D. True or False.
1. Regression predicts categories.
2. Clustering is a supervised learning method.
3. Test data is used to evaluate model performance.
4. Computer Vision can detect object locations.
E. Identify the AI Domain.
Ai Application Identify the Term
Analysing MRI scans
Text summarisation of long articles
Recommending products based on past purchases
Grouping customers by buying behaviour
Chatbot answering customer queries
26 Artificial Intelligence (CT & AI)-VII

