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

A high recall but low precision model tends to:

Generative AI differs from traditional AI because it:

Regularization techniques such as L1 and L2 penalize model complexity to prevent overfitting.

Recurrent Neural Networks (RNNs) process each input independently of previous time steps.

One-Hot Encoding is typically used for:

Which analytics type answers “What is likely to happen next

Sentiment analysis attempts to determine the emotional tone expressed in text. 

The kernel trick in Support Vector Machines allows:

Recall is concerned with the proportion of actual positives that are correctly identified.