AIGP Exam Dumps | In the machine learning context, feature engineering is the process of?

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Question 36/96

In the machine learning context, feature engineering is the process of?

A. Converting raw data into clean data.

B. Creating learning schema for a model apply.

C. Developing guidelines to train and test a model.

D. Extracting attributes and variables from raw data.

Correct Answer: D

In the machine learning context, feature engineering is the process of extracting attributes and variables from raw data to make it suitable for training an AI model. This step is crucial as it transforms raw data into meaningful features that can improve the model's accuracy and performance. Feature engineering involves selecting, modifying, and creating new features that help the model learn more effectively. Reference: AIGP Body of Knowledge on AI Model Development and Feature Engineering.

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