NLP systems never face ambiguity when interpreting language. 

Multiple regression allows us to include both quantitative and qualitative predictors.

Apriori uses a bottom-up candidate generation approach.

The concept of ‘human + AI collaboration’ is often called:

Transfer learning is effective when:

Confusion matrices evaluate:

Lemmatization uses grammar and vocabulary to find base word forms.

TF–IDF assigns higher weight to rare but informative terms.

Dashboards should include every available metric to maximize detail.

Cross-validation reduces overfitting by ensuring models are trained and tested on all data splits.