Which of the following is an example of AI in business functions?

Generative AI differs from predictive AI because it:

Term Frequency–Inverse Document Frequency (TF-IDF) increases the weight of frequently occurring words across all documents. 

The kernel trick in Support Vector Machines allows:

This will provide an average of last 20 time series data where every observation is equally weighed

Clustering is always supervised learning.

Which of the following indicates no linear relationship?

Feature engineering improves model performance by:

A correlation of +0.9 indicates a weak positive relationship.

Correlation measures both the strength and direction of a linear relationship between two variables.