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NEW QUESTION: 1
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform
NEW QUESTION: 2
初期電源投入時のSPE障害LEDの観察、SPEが使用する色と時間
初期化の準備ができていることを示しますか？
A. 3秒間アンバー、1秒間ブルー
B. 1秒間アンバー、2秒間グリーン
C. 1秒間青、その後3秒間緑
D. 1秒間アンバー、3秒間ブルー
Answer: A
Explanation:
https://community.emc.com/docs/DOC-65589
NEW QUESTION: 3
Company A uses an outside vendor for support of its internal network. Company B's networking equipment is housed ina datacenter in another country. Company C has an internal network infrastructure, but its software runs from an on-demand self-service third-party datacenter. Company D uses its own IT staff to support an internal network. Which of the following companiesMUST be using cloud computing?
A. Company A
B. Company B
C. Company D
D. Company C
Answer: B
NEW QUESTION: 4
A. Option B
B. Option A
C. Option C
D. Option D
Answer: A