COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Real-time Inferencing
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Batch Inferencing
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Both
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None
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Detailed explanation-1: -Single service Inference pattern Here, the model is deployed in a dedicated service, which (different) business services calls into with a “data input” API. The service encapsulates feature computation, prediction, and output transformations. This is a common sense option.
Detailed explanation-2: -Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy ML models quickly.
Detailed explanation-3: -Machine learning algorithms use historical data as input to predict new output values.
Detailed explanation-4: -Reinforcement Learning Machine learning models are taught to make a series of decisions based on the rewards and feedback they receive for their actions in this process.