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NEW QUESTION: 1
Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors. While exploring the data, the Specialist notices that the magnitude of the input features vary greatly. The Specialist does not want variables with a larger magnitude to dominate the model.
What should the Specialist do to prepare the data for model training?
A. Apply the Cartesian product transformation to create new combinations of fields that are independent of the magnitude.
B. Apply normalization to ensure each field will have a mean of 0 and a variance of 1 to remove any significant magnitude.
C. Apply quantile binning to group the data into categorical bins to keep any relationships in the data by replacing the magnitude with distribution.
D. Apply the orthogonal sparse bigram (OSB) transformation to apply a fixed-size sliding window to generate new features of a similar magnitude.
Answer: B
Explanation:
https://docs.aws.amazon.com/machine-learning/latest/dg/data-transformations-reference.html
NEW QUESTION: 2
タグポリシーがすべてのサービスに適用されるように、EventGndControllef.esのEG15行にコードを追加する必要があります。
どのようにコードを完成させるべきですか？答えるには、適切なコードセグメントを正しい場所にドラッグします。
各コードセグメントは、1回、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
NEW QUESTION: 3
A. Option A
B. Option C
C. Option D
D. Option B
Answer: C