PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #74
You work for a large retailer and have been asked to segment your customers by their purchasing habits. The purchase history of all customers has been uploaded to BigQuery. You suspect that there…
The correct answer is A. Create a k-means clustering model using BigQuery ML. Allow BigQuery to automatically optimize. when to use k-means : Your data may contain natural groupings or clusters of data. You may want to identify these groupings descriptively in order to make data-driven decisions. For example, a retailer may want to identify natural groupings of customers who have similar…
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Options
- ACreate a k-means clustering model using BigQuery ML. Allow BigQuery to automatically optimize
- BCreate a new dataset in Dataprep that references your BigQuery table. Use Dataprep to identify
- CUse the Data Labeling Service to label each customer record in BigQuery. Train a model on your
- DGet a list of the customer segments from your company's Marketing team. Use the Data Labeling
How the community answered
(61 responses)- A72% (44)
- B16% (10)
- C8% (5)
- D3% (2)
Explanation
when to use k-means : Your data may contain natural groupings or clusters of data. You may want to identify these groupings descriptively in order to make data-driven decisions. For example, a retailer may want to identify natural groupings of customers who have similar purchasing habits or locations. This process is known as customer segmentation. https://cloud.google.com/bigquery/docs/kmeans-tutorial
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