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NEW QUESTION: 1
認定エイドは、CSVファイルからデータ拡張機能にデータをインポートしたいと考えています。 CSVファイルには、関連するすべてのデータが含まれています。新しいレコードをデータ拡張機能に追加し、ファイルにないレコードをデータ拡張機能から削除する必要があります。このためにどのインポート操作を選択する必要がありますか？ 1を選択します。
A. 追加のみ
B. 追加および更新
C. 更新のみ
D. 上書き
Answer: D
NEW QUESTION: 2
When does Blue Prism recommended to culturally adopt RPA into the customers organization?
A. Industrialize
B. Institutionalize
C. None of the above
D. Initialize
Answer: C
NEW QUESTION: 3
広告応答のモデリング戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system. Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommender