Normalization — Google Cloud ML Engineer Practice Questions
Normalization is the process of rescaling feature values so they fall within a defined range, most commonly zero to one, to prevent features with large numeric ranges from dominating gradient-based learning. On the Google Cloud ML Engineer exam, normalization is discussed as a preprocessing step applied before training in TensorFlow, Keras, or Vertex AI custom jobs, and candidates must know when it is appropriate compared to standardization. It is also relevant in BigQuery ML, where the TRANSFORM clause allows preprocessing logic to be embedded in the model and automatically applied at prediction time.
Free questions on normalization
What is the purpose of normalization in machine learning data preprocessing?
Free question · easy · full answer + explanation
More normalization questions in the full bank
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