To run a TensorFlow training job on your own computer using Cloud Machine Learning Engine, what would your command start with?

Question

Options

• AUnsupervised learning
• BRegressor
• CClassifier
• DClustering estimator

• A
  3% (2)
• B
  88% (52)
• C
  7% (4)
• D
  2% (1)

Explanation

Explanation/Reference: gcloud ml-engine local train -run a Cloud ML Engine training job locally This command runs the specified module in an environment similar to that of a live Cloud ML Engine Training Job. This is especially useful in the case of testing distributed models, as it allows you to validate that you are properly interacting with the Cloud ML Engine cluster Explanation/Reference: Regression is the supervised learning task for modeling and predicting continuous, numeric variables. Examples include predicting real-estate prices, stock price movements, or student test scores. Classification is the supervised learning task for modeling and predicting categorical variables. Examples include predicting employee churn, email spam, financial fraud, or student letter grades. Clustering is an unsupervised learning task for finding natural groupings of observations (i.e. clusters) based on the inherent structure within your dataset. Examples include customer segmentation, grouping similar items in e-commerce, and social network analysis.

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