Wisdom is about applying knowledge ethically and effectively.

Tokenization splits text into smaller units like words or subwords.

Deep learning models require manual feature engineering for optimal performance. 

Which diagnostic is used to check model residuals?

Which regression method is best for binary classification?

Structured databases are the main focus of text analytics.

K-Means always yields identical results regardless of initialization.

In descriptive analytics, predictive modeling techniques are primarily used. 

Named Entity Recognition (NER) identifies people, places, and organizations in text.

Descriptive analytics answers the question ‘what happened?’