Case studies

Question 1

What is a recommender system?

Answer 1

A system that suggests items to users based on preferences or behavior.

Question 2

What is collaborative filtering?

Answer 2

Recommendation method using similarities between users/items.

Question 3

What is content-based filtering?

Answer 3

Recommendation method based on item features and user preferences.

Question 4

What is fraud detection?

Answer 4

Identifying unusual patterns indicating fraudulent activity.

Question 5

What is NLP?

Answer 5

Field of AI focused on interactions between computers and human language.

Question 6

What is sentiment analysis?

Answer 6

Determining the sentiment expressed in text.

Question 7

What is object detection?

Answer 7

Identifying and locating objects in an image.

Question 8

What is semantic segmentation?

Answer 8

Classifying each pixel in an image into a category.

Question 9

What is named entity recognition?

Answer 9

Identifying and classifying named entities in text.

Question 10

What is a knowledge graph?

Answer 10

Graph-based representation of entities and relationships.