Chand Mid exam2 papers-Jul2026

M.Tech. AI&DS, Year 1, Sem.2, Sub:Neural Networks & Deep Learning,  Mid2Exam 

1.Delineate large-scale deep learning

2.Delineate natural language processing

3.Delineate multi-digit number recognition example

4.Delineate w.r.t. determining whether to gather more data

5.Delineate echo state networks

6.Delineate long short-term memory and other gated RNNs

7.Delineate recursive neural networks

8.Delineate deep recurrent networks

M.Tech. AI&DS, Year 1, Sem.2, Sub:Social Media Mining,  Mid2Exam

1. Compare and contrast the Classical Recommendation Algorithms/Techniques: Content-based recommendation systems Vs. Collaborative Filtering (CF)

2. When a recommendation algorithm predicts ratings for items, one must evaluate how accurate its recommendations are. Delineate how any one of the following factors of recommendations are evaluated (1) accuracy of predictions, (2) relevancy of recommendations, or (3) rankings of recommendations.

3. Delineate the methods to take advantage of neighborhood information to compute the similarity between two nodes w.r.t. the  link prediction in social media.

4. Delineate about User Migration in Social Media towards collective behavior analysis.

5. Delineate herd behavior.

6. (a)Depict the Figure w.r.t. how both influence and homophily affect social networks. 

(b)Depict the diagram for Information Diffusion Types.

7.Delineate the following w.r.t. information diffusion in social media: (a.)Information cascades (b.)Epidemics

8.Delineate w.r.t. measuring assortativity